Computer Generated Integral Imaging (II) System Using Depth-Camera

Size: px
Start display at page:

Download "Computer Generated Integral Imaging (II) System Using Depth-Camera"

Transcription

1 Computer Generated Integral Imagng (II) System Usng Depth-Camera Md. Sharful Islam 1, Md. Tarquzzaman 2 1,2 Department of Informaton and Communcaton Engneerng, Islamc Unversty, Kushta-7003, Bangladesh Abstract: Ths paper presents a computer generated ntegral magng (CGII) system that makes better the vsual qualty of three-dmensonal (3D) reconstructed mages based on real depth of 3D object. Two dmensonal (2D) mages are used as an object mage n conventonal CGII system, therefore all pxels of an ntegrated mage just located n the same depth plane. Ths problem has been reduced by extractng each pxel s own depth data from a real 3D object s surface usng depth camera to generate ntegral mages. It s evaluated the proposed CGII method through comparng wth the ntegral mage generated n CGII conventonal method. Expermental results ndcate that the ntegrated mages have full parallax snce all pxels locate n ts own depth plane. So, t dsplayed more natural 3D mage. Keywords: Integral Imagng, Computer generated ntegral magng. 1. INTRODUCTION The present era s three-dmensonal (3D) era but all dsplays are presentng two-dmensonal (2D) mages. 3D dsplays are needed for so many mportant applcatons, namely: a remote control, a vrtual surgery, a 3D desgn and so on because of ths magng provdes extra nformaton that s helpful to human. Some 3D technologes have been developed, for example, stereoscopy, auto stereoscopy, holography, and ntegral magng (II). Among the aforementoned technques, II [1], [2] has been one of the attractve autostereoscopc 3D dsplay technques. The II technque does not requre any extra vewng ad and has contnuous vewponts wthn the vewng angle [3], [4] that are consdered the strkng features of ths technque. It also provdes full parallax, contnuous vewng angle, full color and real-tme dsplayng [5]. In general, an ntegral magng system comprses of two parts; pckup and reconstructon. In the pckup part, the rays comng from 3D object through a lens-array s recorded as elemental mages representng dfferent perspectves of a 3D object. In the reconstructon part, the recorded elemental mages are dsplayed on a dsplay panel and the 3D mage can be reconstructed and observed through a lens-array [6], [7]. In ths confguraton, the specfcatons of lens arrays used n the pckup and dsplay parts should be same. Recently computer generated elemental mage has been dscussed by Sngsong Jung et al. [8]. Instead of pckup process n conventonal II that recordng elemental mage by optcal devce, the elemental mages of magnary objects are computer-generated. In recent works of CGII, one of the major problems was the plane depth of reconstructed mage due to object mages for generatng elemental mage usually contans only color value, and all pxels depth data were gven same depth data by user. Here, the x and y values of elemental mages can be calculated from gven values whch satsfes for all pxels of an object mage. However, every pxel of a reconstructed mage locates n same depth plane [9-13]. Therefore t s not enough for feelng parallax because there s no depth dsparty between pxels whch locate n same object mage. Whle usng more than two object mages wth dfferent depth values respectvely, t can be feel the parallax only between plane mages as shown n Fg. 1. In fact, the real 3D mage depth not only n a depth plane. Page 256

2 Fg.1. Conventonal generatng elemental mage from object mage To overcome the drawbacks we proposed a new method to generate elemental mages based on all pxels depth data of real-3d object. We extracted 3D nformaton of object by depth-camera and calculated ts depth map that nclude pxels own depth data. Fg. 2 shows comparson of object mage pxel poston n conventonal and proposed method as shown Fg. 2(b) depth data z = 20mm s not calculated from actual depth data that s gven arbtrarly by user. If we generate elemental mage use the pxels set, all of the ntegrated mage pxels wll just locate at one depth plane. The Fg. 2(a) shows pxels poston n proposed method that each pxel s depth s calculated from real depth by depth camera. (a) (b) Fg.2. (a) Proposed method of obtan object pxel (b) Conventonal method of obtan object pxel Elemental mages would be generated by proposed method and then we ntegrated them nto 3D mages usng a lens array. Fnally, we can observe a more natural 3D mage that every pxel reconstructed on ts own depth plane. 2. CGII BASED ON EACH PIXE S REA DEPTH DATA The man purposed of CGII s to compute elemental mage pxel coordnates. Elemental mage pxels were formed by pxels of object focusng through lens-array. In conventonal CGII, the object mage pxels are all on the same depth plane. It leads to all pxels ntegrated mage locate on the same depth plane. To overcome ths problem, a new CGII method has been proposed n our system. Table1. Shows the archtecture of proposed generatng elemental mage from real-3d object. Page 257

3 Table: 1. Elemental mage generaton of the proposed archtecture Input Calculaton Dsplay Parameter Input Object Image Input Informaton of ens- array Object Image -sze of elemental lens -Obtaned colour and depth mage of the 3D -Number of elemental lens object -Focal length of elemental lens -Extract regon of nterest Informaton of Dsplay -Convert pxels real depth data -Pxel ptch of CD -Arrangng pxel coordnates of object mage -Gap between lens and dsplay Calculaton of pxel coordnates Mappng object pxel to elemental mage pxel -Coordnates of object pxel -Pass through lens array centre -ocate at elemental mage pxel plane -Arrangng elemental mage pxel Dsplay elemental mage pxel on elemental mage plane The proposed method conssts of three parts. In the nput stage the parameters of lens-array and dsplay were nputted, furthermore nformaton of 3D object should be also nputted such as pxel s color, depth and ndex. In calculaton stage we mapped object pxels to elemental mage plane. Fnally, n dsplay stage the calculated elemental mage pxels set wll dsplay on CD. 2.1 Informaton of nput for proposed CGII computaton: In the nput stage, the parameters of lens-array and dsplay are nputted. It ncludes the sze, number and focal length of vrtual elemental lens, pxel ptch of dsplay and the gap between dsplay and lens-array. Furthermore t s necessary to arrange pxels of 3D object. Fg. 3 shows the color mage of object and ts depth map mage. Fg. 3(a) s the object mage and Fg. 3(b) s ts depth map. (a) Fg.3. Color mages of object and ther depth map mages Color mage (b) Its depth map (c) Regon of nterest (d) Its depth map In order to extract the regon of nterest n depth map we have separated the background and people. It s shown n Fg. 3(c) and Fg. 3(d). The depth data of every pxel on the 3D object surface has been calculated. In order to arrange pxel s coordnates of object mage n x, y, z axs we need map the depth data to each correspondng pxel. It s notceable from Fg. 4 object pxels located n the depth from 842.6mm to mm snce every pxel s depth data s the real dstance between the pont of object surface and the depth camera. However, n our ntegral magng system the depth range s Page 258

4 from 39.09mm to 43.9mm. In order to locate pxels of object mage n the lmted depth range we have to convert the real depth data. From lens law central depth cd s gven by Eq.1 cd j fg....(1) f g cd(max( rd) mn( rd))...(2) rd( j, ) 2 Fg.4. Real depth data of from 3D object The, js the converted dstance from (, j)-th pxel s to lens array. 2.2 Calculaton and generatng elemental mage by proposed object mage: In the calculaton stage we make three buffers generally every pxel s depth and color data stored n frst buffer second for center of elemental lenses and thrd for the calculated elemental mage pxels set. The coordnates of elemental lens are computed based on ptch sze and ndex of the elemental lenses. In the followng, the coordnates of pxels n elemental mage plane are calculated by coordnates of object pxels and center of lenses array. Fg.5 shows the geometry of mappng pxels of object to elemental mage plane. The pxel at (x, y, z ) postoned after passed through center of lenses and then locate on elemental mage plane and the coordnates of pxel n elemental mage plane (u, v ) s gven by Eq Fg.5. Geometry for mappng elemental mage P I fg. PD....(3) ( g f ) g Page 259

5 g u P. ( PI P. )....(4), j g v P. j ( j. PI P. j )....(5), j Where, j are pxels ndex of object mage n x, y axs,, j the ndex of lens center n x, y axs, P the sze of lens and P D the pxel sze of dsplay, f the focal length of the lens, g the gap between the lens-array and elemental mage plane. As a result, the set of elemental mage ponts can be plotted. From the above mentoned equatons we can see every pxel s poston n elemental mage plane are calculated by ther own depth data, j and the calculaton process s performed repeatedly untl the set of elemental mages for all pxels of an magnary object are determned. Fg.6 shows the elemental mage set that generated by proposed method. Fg.6. Elemental mage generated by proposed method 3. EXPERIMENT We showed the expermental results by usng our proposed method. For justfyng the advantages of the proposed method we compared pxels parallax of proposed CGII wth conventonal CGII. Fg.7 shows the confguraton of proposed system. It conssts of a depth camera, RGB camera, hgh-resoluton dsplay and a lens-array. In our experment we use Knect sensor as the depth-camera and RGB camera. It s shown the specfcaton of expermental setup by Table.2. Fg.7. Confguraton of proposed system Page 260

6 Table: 2. Specfcaton of the expermental setup Set up Specfcatons Characterstcs ens array Focal length Number of elemental lens Ptch of elemental lens 8mm 30(H) 30(V) 5mm Depth Camera Model XBOX 360 KINECT sensor Object Transverse dmenson 320pxels 240pxles 10mm Dsplay Ptch of pxel Number of elemental lens Gap Between lens array and dsplay 10mm mm mm The 3D object s demonstrated by proposed CGII and the conventonal CGII respectvely and then observed from fve unlke vewng postons. As shown n Fg. 8 the horzontal dstance x and vertcal dstance y between marked pxels are dfferent snce all pxels generated based on ts real depth so pxels of ntegrated mage located varety depth plane n dfferent vewng postons we can observe parallax mage. It can be verfed that proposed method trumphantly creates pxels dsparty. However, n Fg. 9 we just observed that the mage pxels shfted all together but the value of x, y ddn t change. It ndcates that the ntegral mage generated by conventonal method doesn t have pxels dsparty because all pxels depth data were same. Through the comparson of Fg 8 and Fg 9 we can confrm that the ntegral mage generated by proposed method dsplays more natural 3D mage. In expermental result there are some dstortons. It s because of the rudmentary lenses are smple sphercal lenses whch have sgnfcant aberraton. If mprove the qualty of lens array t can be avoded. Furthermore we evaluate the lateral resoluton of ntegrated mage n proposed and conventonal CGII. There are two types of resoluton of the ntegrated mage, namely: ateral resoluton and longtudnal resoluton. The lateral resoluton whch sgnfy the resoluton of the ntegrated mage at a gven mage plane and the Fg.8. Expermental result of proposed method at fve postons Fg.9. Expermental result of conventonal method at fve postons Page 261

7 longtudnal (depth) resoluton whch s related to the number of mage planes nto the depth drecton. If we label the lateral resoluton R as the spatal resoluton of the -th pxel at depth plane z = z, f can be obtaned by calculatng the cutoff frequency of the modulaton transfer functon (MTF) of the lens. For ncoherent llumnaton the MTF s expressed as follows: f f MTF 1 sn c P 1 R err( )...(6) P P Where err( )...(7) Z g f The formula of lateral resoluton R of ntegral mage was derved n. Sngsong Jung et al. [8]. R 1...(8) gp gp PD Here, s the dstance between -th pxel of ntegrated mage and lens array. The Eq.3 shows the relaton between the pxel s lateral resoluton and ts depth data. We have calculated all pxels lateral resoluton and drew ts dstrbuton n Fg. 10. Fg.10. ateral resoluton dstrbuton of ntegrated mage pxels It s shown n Fg.10 the pxel ntegrated by proposed method has varous values. However, conventonal lateral resoluton of all pxels s same snce pxels n dfferent depth has dfferent lateral resoluton. we can confrm agan that the ntegral mage generated by proposed method dsplayed more natural 3D mage. 4. CONCUSION In ths paper, we proposed a dfferent CGII technque to mprove the vewng qualty of 3D reconstructed mages. We extracted the actual depth data from all pxels of real 3D object surface to generate more natural 3D mage. We confrmed the advantage through some experments that comparng wth conventonal method. Snce the pxels dsparty, we can observe parallax mage n dfferent vew poston. Expermental results showed that proposed method s effcently mprovng the 3D mage vewng qualty. If we mprove the speed of calculaton then real-tme ntegral magng dsplay can be mplemented and mght be applcable to real-tme 3D dsplay system. ACKNOWEDGEMENTS Ths research work s supported by Informaton and Communcaton Technology Dvson, Government of the People s Republc of Bangladesh [ ]. Page 262

8 REFERENCES [1] ppmann, a Photography Integral, Comptes-Rendus Academy des Scences 146, 446 (1908). [2] A. Stern, and B. Javd, Three dmensonal Sensng, Vsualzaton, and Processng usng Integral Imagng, Proceedngs of IEEE Journal, specal ssue on 3-D technologes for magng and dsplay, 94, (2006). [3] B. ee, J.-H. Park, and S.-W. Mn, Three-dmensonal dsplay and nformaton processng based on ntegral magng, n Dgtal Holography and Three-Dmensonal Dsplay, T.-C. Poona, eds. (Sprnger, New York, USA, 2006). [4] J.-H. Park, G. Baasantseren, N. Km, G. Park, J.-M. Kang, and B. ee, Vew mage generaton n perspectve and orthographc projecton geometry based on ntegral magng, Opt. Express 16(12), (2008). [5] F. Okano, H. Hoshno, J. Ara, and I. Yuyama, Real-tme pckup method for a three-dmensonal mage based on ntegral photography, Appl. Opt. 36(7), (1997). [6] Dong-Hak Shn and Hoon Yoo Image qualty enhancement n 3D computatonal ntegral magng by use of nterpolaton methods, Optc Express 15(19), (2007). [7] Jae-Hyeung Park, Three-dmensonal dsplay scheme based on ntegral magng wth three-dmensonal nformaton processng, Optcs Express, 2004 [8] Sngsong Jung, Sung-Wook Mn, Jea-Hyeung Park and Byoungho ee Study of Three-dmensonal Dsplay System Based on Computer-generated Integral Photography., Optcal Socety of Korea. 5(2),43-48(2001). [9] Ganbat Bassantseren, Jea-Hyeung Park, K- Chul Kwon, and Nam Km Vew angle enhanced ntegral magng dsplay usng two elemental mage masks OPTICS EXPRESS Vol. 17, No. 16, ( 2009). [10] [10] Jae-Hyeng Park, Joohwan Km, Yunhee Km and Byoungho ee Resoluton-enhanced three-dmenson/ twodmenson vonvertble dsplay based on ntegral magng [11] Jae- Hyun Jung, Keehoon Hong, Gbea Park, Indeok Chung, Jea- Hyeung Park, and Byongho ee Reconstructon of three-dmensonal occluded object usng optcal flow and trangular mesh reconstructon n ntegral magng., Opt Express18(25), (2010) [12] J.-H. Park, K. Hong, and B. ee, Recent progress n three-dmensonal nformaton processng based on ntegral magng, Appl. Opt. 48(34), H77 H94 (2009). [13] K-chul Kwon, Chan Park, Munkh- Uchral Erdenebat, Hgh speed mage space parallel processng for computergenerated ntegral magng system Appl. Opt. ExpressVol. 20, No.2, (2012). Author s Profle: Md. Sharful Islam receved the B.Sc. and M.Sc. degrees from the Department of Appled Physcs, Electroncs and Communcaton Engneerng (Erstwhle Electroncs & Appled Physcs) from Islamc Unversty, Kushta-7003, Bangladesh, n 2001 and 2003 respectvely. He joned as a lecturer n the Department of Informaton and Communcaton Engneerng, IU, Kushta-7003, Bangladesh, n September 2004 and currently, he s workng as an Assocate Professor n the same department. Hs research nterests are n the area of Integral Imagng three-dmensonal (3D) dsplay technology, Image Processng. Md. Tarquzzaman receved the B.Sc. and M.Sc. degrees from the Department of Appled Physcs, Electroncs and Communcaton Engneerng (Erstwhle Electroncs & Appled Physcs) from Islamc Unversty, Kushta-7003, Bangladesh, n 2001 and 2003 respectvely. He receved the Ph.D. degree n Engneerng n 2010 from Chonnam Natonal Unversty, Republc of Korea. From 2010 to 2011 he worked as a postdoctoral fellow n the School of Electroncs & Computer Engneerng, Chonnam Natonal Unversty and Mokpo Natonal Unversty, Republc of Korea. He joned as a lecturer n the Department of Informaton and Communcaton Engneerng, IU, Kushta-7003, Bangladesh, n September 2004 and currently, he s workng as an Assocate Professor n the same department. Hs research nterests are n the area of audo-vsual speech processng, bometrcs, computer vson and machne learnng. Page 263

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration Improvement of Spatal Resoluton Usng BlockMatchng Based Moton Estmaton and Frame Integraton Danya Suga and Takayuk Hamamoto Graduate School of Engneerng, Tokyo Unversty of Scence, 6-3-1, Nuku, Katsuska-ku,

More information

R s s f. m y s. SPH3UW Unit 7.3 Spherical Concave Mirrors Page 1 of 12. Notes

R s s f. m y s. SPH3UW Unit 7.3 Spherical Concave Mirrors Page 1 of 12. Notes SPH3UW Unt 7.3 Sphercal Concave Mrrors Page 1 of 1 Notes Physcs Tool box Concave Mrror If the reflectng surface takes place on the nner surface of the sphercal shape so that the centre of the mrror bulges

More information

A Binarization Algorithm specialized on Document Images and Photos

A Binarization Algorithm specialized on Document Images and Photos A Bnarzaton Algorthm specalzed on Document mages and Photos Ergna Kavalleratou Dept. of nformaton and Communcaton Systems Engneerng Unversty of the Aegean kavalleratou@aegean.gr Abstract n ths paper, a

More information

Parallelism for Nested Loops with Non-uniform and Flow Dependences

Parallelism for Nested Loops with Non-uniform and Flow Dependences Parallelsm for Nested Loops wth Non-unform and Flow Dependences Sam-Jn Jeong Dept. of Informaton & Communcaton Engneerng, Cheonan Unversty, 5, Anseo-dong, Cheonan, Chungnam, 330-80, Korea. seong@cheonan.ac.kr

More information

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers IOSR Journal of Electroncs and Communcaton Engneerng (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue, Ver. IV (Mar - Apr. 04), PP 0-07 Content Based Image Retreval Usng -D Dscrete Wavelet wth

More information

An efficient method to build panoramic image mosaics

An efficient method to build panoramic image mosaics An effcent method to buld panoramc mage mosacs Pattern Recognton Letters vol. 4 003 Dae-Hyun Km Yong-In Yoon Jong-Soo Cho School of Electrcal Engneerng and Computer Scence Kyungpook Natonal Unv. Abstract

More information

Image Fusion With a Dental Panoramic X-ray Image and Face Image Acquired With a KINECT

Image Fusion With a Dental Panoramic X-ray Image and Face Image Acquired With a KINECT Image Fuson Wth a Dental Panoramc X-ray Image and Face Image Acqured Wth a KINECT Kohe Kawa* 1, Koch Ogawa* 1, Aktosh Katumata* 2 * 1 Graduate School of Engneerng, Hose Unversty * 2 School of Dentstry,

More information

Real-time Motion Capture System Using One Video Camera Based on Color and Edge Distribution

Real-time Motion Capture System Using One Video Camera Based on Color and Edge Distribution Real-tme Moton Capture System Usng One Vdeo Camera Based on Color and Edge Dstrbuton YOSHIAKI AKAZAWA, YOSHIHIRO OKADA, AND KOICHI NIIJIMA Graduate School of Informaton Scence and Electrcal Engneerng,

More information

TN348: Openlab Module - Colocalization

TN348: Openlab Module - Colocalization TN348: Openlab Module - Colocalzaton Topc The Colocalzaton module provdes the faclty to vsualze and quantfy colocalzaton between pars of mages. The Colocalzaton wndow contans a prevew of the two mages

More information

Some Tutorial about the Project. Computer Graphics

Some Tutorial about the Project. Computer Graphics Some Tutoral about the Project Lecture 6 Rastersaton, Antalasng, Texture Mappng, I have already covered all the topcs needed to fnsh the 1 st practcal Today, I wll brefly explan how to start workng on

More information

Accounting for the Use of Different Length Scale Factors in x, y and z Directions

Accounting for the Use of Different Length Scale Factors in x, y and z Directions 1 Accountng for the Use of Dfferent Length Scale Factors n x, y and z Drectons Taha Soch (taha.soch@kcl.ac.uk) Imagng Scences & Bomedcal Engneerng, Kng s College London, The Rayne Insttute, St Thomas Hosptal,

More information

A Fast Visual Tracking Algorithm Based on Circle Pixels Matching

A Fast Visual Tracking Algorithm Based on Circle Pixels Matching A Fast Vsual Trackng Algorthm Based on Crcle Pxels Matchng Zhqang Hou hou_zhq@sohu.com Chongzhao Han czhan@mal.xjtu.edu.cn Ln Zheng Abstract: A fast vsual trackng algorthm based on crcle pxels matchng

More information

3D vector computer graphics

3D vector computer graphics 3D vector computer graphcs Paolo Varagnolo: freelance engneer Padova Aprl 2016 Prvate Practce ----------------------------------- 1. Introducton Vector 3D model representaton n computer graphcs requres

More information

An Image Fusion Approach Based on Segmentation Region

An Image Fusion Approach Based on Segmentation Region Rong Wang, L-Qun Gao, Shu Yang, Yu-Hua Cha, and Yan-Chun Lu An Image Fuson Approach Based On Segmentaton Regon An Image Fuson Approach Based on Segmentaton Regon Rong Wang, L-Qun Gao, Shu Yang 3, Yu-Hua

More information

Learning the Kernel Parameters in Kernel Minimum Distance Classifier

Learning the Kernel Parameters in Kernel Minimum Distance Classifier Learnng the Kernel Parameters n Kernel Mnmum Dstance Classfer Daoqang Zhang 1,, Songcan Chen and Zh-Hua Zhou 1* 1 Natonal Laboratory for Novel Software Technology Nanjng Unversty, Nanjng 193, Chna Department

More information

Dynamic wetting property investigation of AFM tips in micro/nanoscale

Dynamic wetting property investigation of AFM tips in micro/nanoscale Dynamc wettng property nvestgaton of AFM tps n mcro/nanoscale The wettng propertes of AFM probe tps are of concern n AFM tp related force measurement, fabrcaton, and manpulaton technques, such as dp-pen

More information

3D Virtual Eyeglass Frames Modeling from Multiple Camera Image Data Based on the GFFD Deformation Method

3D Virtual Eyeglass Frames Modeling from Multiple Camera Image Data Based on the GFFD Deformation Method NICOGRAPH Internatonal 2012, pp. 114-119 3D Vrtual Eyeglass Frames Modelng from Multple Camera Image Data Based on the GFFD Deformaton Method Norak Tamura, Somsangouane Sngthemphone and Katsuhro Ktama

More information

FEATURE EXTRACTION. Dr. K.Vijayarekha. Associate Dean School of Electrical and Electronics Engineering SASTRA University, Thanjavur

FEATURE EXTRACTION. Dr. K.Vijayarekha. Associate Dean School of Electrical and Electronics Engineering SASTRA University, Thanjavur FEATURE EXTRACTION Dr. K.Vjayarekha Assocate Dean School of Electrcal and Electroncs Engneerng SASTRA Unversty, Thanjavur613 41 Jont Intatve of IITs and IISc Funded by MHRD Page 1 of 8 Table of Contents

More information

Enhanced Watermarking Technique for Color Images using Visual Cryptography

Enhanced Watermarking Technique for Color Images using Visual Cryptography Informaton Assurance and Securty Letters 1 (2010) 024-028 Enhanced Watermarkng Technque for Color Images usng Vsual Cryptography Enas F. Al rawashdeh 1, Rawan I.Zaghloul 2 1 Balqa Appled Unversty, MIS

More information

A Fast Content-Based Multimedia Retrieval Technique Using Compressed Data

A Fast Content-Based Multimedia Retrieval Technique Using Compressed Data A Fast Content-Based Multmeda Retreval Technque Usng Compressed Data Borko Furht and Pornvt Saksobhavvat NSF Multmeda Laboratory Florda Atlantc Unversty, Boca Raton, Florda 3343 ABSTRACT In ths paper,

More information

A high precision collaborative vision measurement of gear chamfering profile

A high precision collaborative vision measurement of gear chamfering profile Internatonal Conference on Advances n Mechancal Engneerng and Industral Informatcs (AMEII 05) A hgh precson collaboratve vson measurement of gear chamferng profle Conglng Zhou, a, Zengpu Xu, b, Chunmng

More information

2x x l. Module 3: Element Properties Lecture 4: Lagrange and Serendipity Elements

2x x l. Module 3: Element Properties Lecture 4: Lagrange and Serendipity Elements Module 3: Element Propertes Lecture : Lagrange and Serendpty Elements 5 In last lecture note, the nterpolaton functons are derved on the bass of assumed polynomal from Pascal s trangle for the fled varable.

More information

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision SLAM Summer School 2006 Practcal 2: SLAM usng Monocular Vson Javer Cvera, Unversty of Zaragoza Andrew J. Davson, Imperal College London J.M.M Montel, Unversty of Zaragoza. josemar@unzar.es, jcvera@unzar.es,

More information

Classifier Selection Based on Data Complexity Measures *

Classifier Selection Based on Data Complexity Measures * Classfer Selecton Based on Data Complexty Measures * Edth Hernández-Reyes, J.A. Carrasco-Ochoa, and J.Fco. Martínez-Trndad Natonal Insttute for Astrophyscs, Optcs and Electroncs, Lus Enrque Erro No.1 Sta.

More information

Optical quasi-three-dimensional correlation

Optical quasi-three-dimensional correlation Optcal quas-three-dmensonal correlaton Youzh L 1, Joseph Rosen Department of Electrcal and Computer Engneerng, Ben-Guron Unversty of the Negev P. O. Box 653, Beer-Sheva, 84105, Israel ABSTRACT A novel

More information

An Accurate Evaluation of Integrals in Convex and Non convex Polygonal Domain by Twelve Node Quadrilateral Finite Element Method

An Accurate Evaluation of Integrals in Convex and Non convex Polygonal Domain by Twelve Node Quadrilateral Finite Element Method Internatonal Journal of Computatonal and Appled Mathematcs. ISSN 89-4966 Volume, Number (07), pp. 33-4 Research Inda Publcatons http://www.rpublcaton.com An Accurate Evaluaton of Integrals n Convex and

More information

Shape Representation Robust to the Sketching Order Using Distance Map and Direction Histogram

Shape Representation Robust to the Sketching Order Using Distance Map and Direction Histogram Shape Representaton Robust to the Sketchng Order Usng Dstance Map and Drecton Hstogram Department of Computer Scence Yonse Unversty Kwon Yun CONTENTS Revew Topc Proposed Method System Overvew Sketch Normalzaton

More information

The Comparison of Calibration Method of Binocular Stereo Vision System Ke Zhang a *, Zhao Gao b

The Comparison of Calibration Method of Binocular Stereo Vision System Ke Zhang a *, Zhao Gao b 3rd Internatonal Conference on Materal, Mechancal and Manufacturng Engneerng (IC3ME 2015) The Comparson of Calbraton Method of Bnocular Stereo Vson System Ke Zhang a *, Zhao Gao b College of Engneerng,

More information

Cluster Analysis of Electrical Behavior

Cluster Analysis of Electrical Behavior Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School

More information

REFRACTION. a. To study the refraction of light from plane surfaces. b. To determine the index of refraction for Acrylic and Water.

REFRACTION. a. To study the refraction of light from plane surfaces. b. To determine the index of refraction for Acrylic and Water. Purpose Theory REFRACTION a. To study the refracton of lght from plane surfaces. b. To determne the ndex of refracton for Acrylc and Water. When a ray of lght passes from one medum nto another one of dfferent

More information

Detection of an Object by using Principal Component Analysis

Detection of an Object by using Principal Component Analysis Detecton of an Object by usng Prncpal Component Analyss 1. G. Nagaven, 2. Dr. T. Sreenvasulu Reddy 1. M.Tech, Department of EEE, SVUCE, Trupath, Inda. 2. Assoc. Professor, Department of ECE, SVUCE, Trupath,

More information

High Payload Reversible Data Hiding Scheme Using Difference Segmentation and Histogram Shifting

High Payload Reversible Data Hiding Scheme Using Difference Segmentation and Histogram Shifting JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY, VOL. 11, NO. 1, MARCH 2013 9 Hgh Payload Reversble Data Hdng Scheme Usng Dfference Segmentaton and Hstogram Shftng Yung-Chen Chou and Huang-Chng L Abstract

More information

Dependence of the Color Rendering Index on the Luminance of Light Sources and Munsell Samples

Dependence of the Color Rendering Index on the Luminance of Light Sources and Munsell Samples Australan Journal of Basc and Appled Scences, 4(10): 4609-4613, 2010 ISSN 1991-8178 Dependence of the Color Renderng Index on the Lumnance of Lght Sources and Munsell Samples 1 A. EL-Bally (Physcs Department),

More information

Simulation Based Analysis of FAST TCP using OMNET++

Simulation Based Analysis of FAST TCP using OMNET++ Smulaton Based Analyss of FAST TCP usng OMNET++ Umar ul Hassan 04030038@lums.edu.pk Md Term Report CS678 Topcs n Internet Research Sprng, 2006 Introducton Internet traffc s doublng roughly every 3 months

More information

Using Fuzzy Logic to Enhance the Large Size Remote Sensing Images

Using Fuzzy Logic to Enhance the Large Size Remote Sensing Images Internatonal Journal of Informaton and Electroncs Engneerng Vol. 5 No. 6 November 015 Usng Fuzzy Logc to Enhance the Large Sze Remote Sensng Images Trung Nguyen Tu Huy Ngo Hoang and Thoa Vu Van Abstract

More information

Edge Detection in Noisy Images Using the Support Vector Machines

Edge Detection in Noisy Images Using the Support Vector Machines Edge Detecton n Nosy Images Usng the Support Vector Machnes Hlaro Gómez-Moreno, Saturnno Maldonado-Bascón, Francsco López-Ferreras Sgnal Theory and Communcatons Department. Unversty of Alcalá Crta. Madrd-Barcelona

More information

Shape-adaptive DCT and Its Application in Region-based Image Coding

Shape-adaptive DCT and Its Application in Region-based Image Coding Internatonal Journal of Sgnal Processng, Image Processng and Pattern Recognton, pp.99-108 http://dx.do.org/10.14257/sp.2014.7.1.10 Shape-adaptve DCT and Its Applcaton n Regon-based Image Codng Yamn Zheng,

More information

PROJECTIVE RECONSTRUCTION OF BUILDING SHAPE FROM SILHOUETTE IMAGES ACQUIRED FROM UNCALIBRATED CAMERAS

PROJECTIVE RECONSTRUCTION OF BUILDING SHAPE FROM SILHOUETTE IMAGES ACQUIRED FROM UNCALIBRATED CAMERAS PROJECTIVE RECONSTRUCTION OF BUILDING SHAPE FROM SILHOUETTE IMAGES ACQUIRED FROM UNCALIBRATED CAMERAS Po-Lun La and Alper Ylmaz Photogrammetrc Computer Vson Lab Oho State Unversty, Columbus, Oho, USA -la.138@osu.edu,

More information

Mathematics 256 a course in differential equations for engineering students

Mathematics 256 a course in differential equations for engineering students Mathematcs 56 a course n dfferental equatons for engneerng students Chapter 5. More effcent methods of numercal soluton Euler s method s qute neffcent. Because the error s essentally proportonal to the

More information

TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS. Muradaliyev A.Z.

TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS. Muradaliyev A.Z. TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS Muradalyev AZ Azerbajan Scentfc-Research and Desgn-Prospectng Insttute of Energetc AZ1012, Ave HZardab-94 E-mal:aydn_murad@yahoocom Importance of

More information

Steps for Computing the Dissimilarity, Entropy, Herfindahl-Hirschman and. Accessibility (Gravity with Competition) Indices

Steps for Computing the Dissimilarity, Entropy, Herfindahl-Hirschman and. Accessibility (Gravity with Competition) Indices Steps for Computng the Dssmlarty, Entropy, Herfndahl-Hrschman and Accessblty (Gravty wth Competton) Indces I. Dssmlarty Index Measurement: The followng formula can be used to measure the evenness between

More information

Fuzzy C-Means Initialized by Fixed Threshold Clustering for Improving Image Retrieval

Fuzzy C-Means Initialized by Fixed Threshold Clustering for Improving Image Retrieval Fuzzy -Means Intalzed by Fxed Threshold lusterng for Improvng Image Retreval NAWARA HANSIRI, SIRIPORN SUPRATID,HOM KIMPAN 3 Faculty of Informaton Technology Rangst Unversty Muang-Ake, Paholyotn Road, Patumtan,

More information

A Range Image Refinement Technique for Multi-view 3D Model Reconstruction

A Range Image Refinement Technique for Multi-view 3D Model Reconstruction A Range Image Refnement Technque for Mult-vew 3D Model Reconstructon Soon-Yong Park and Mural Subbarao Electrcal and Computer Engneerng State Unversty of New York at Stony Brook, USA E-mal: parksy@ece.sunysb.edu

More information

Evaluation of an Enhanced Scheme for High-level Nested Network Mobility

Evaluation of an Enhanced Scheme for High-level Nested Network Mobility IJCSNS Internatonal Journal of Computer Scence and Network Securty, VOL.15 No.10, October 2015 1 Evaluaton of an Enhanced Scheme for Hgh-level Nested Network Moblty Mohammed Babker Al Mohammed, Asha Hassan.

More information

A Clustering Algorithm for Key Frame Extraction Based on Density Peak

A Clustering Algorithm for Key Frame Extraction Based on Density Peak Journal of Computer and Communcatons, 2018, 6, 118-128 http://www.scrp.org/ournal/cc ISSN Onlne: 2327-5227 ISSN Prnt: 2327-5219 A Clusterng Algorthm for Key Frame Extracton Based on Densty Peak Hong Zhao

More information

Structure from Motion

Structure from Motion Structure from Moton Structure from Moton For now, statc scene and movng camera Equvalentl, rgdl movng scene and statc camera Lmtng case of stereo wth man cameras Lmtng case of multvew camera calbraton

More information

Techniques of self-interference incoherent digital holography

Techniques of self-interference incoherent digital holography Technques of self-nterference ncoherent dgtal holography Invted Paper Davd C. Clark and Myung K. Km Department of Physcs Unversty of South Florda Tampa, U.S.A. dcclark@mal.usf.edu Abstract We dscuss and

More information

Palmprint Feature Extraction Using 2-D Gabor Filters

Palmprint Feature Extraction Using 2-D Gabor Filters Palmprnt Feature Extracton Usng 2-D Gabor Flters Wa Kn Kong Davd Zhang and Wenxn L Bometrcs Research Centre Department of Computng The Hong Kong Polytechnc Unversty Kowloon Hong Kong Correspondng author:

More information

The Shortest Path of Touring Lines given in the Plane

The Shortest Path of Touring Lines given in the Plane Send Orders for Reprnts to reprnts@benthamscence.ae 262 The Open Cybernetcs & Systemcs Journal, 2015, 9, 262-267 The Shortest Path of Tourng Lnes gven n the Plane Open Access Ljuan Wang 1,2, Dandan He

More information

Load Balancing for Hex-Cell Interconnection Network

Load Balancing for Hex-Cell Interconnection Network Int. J. Communcatons, Network and System Scences,,, - Publshed Onlne Aprl n ScRes. http://www.scrp.org/journal/jcns http://dx.do.org/./jcns.. Load Balancng for Hex-Cell Interconnecton Network Saher Manaseer,

More information

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points;

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points; Subspace clusterng Clusterng Fundamental to all clusterng technques s the choce of dstance measure between data ponts; D q ( ) ( ) 2 x x = x x, j k = 1 k jk Squared Eucldean dstance Assumpton: All features

More information

Related-Mode Attacks on CTR Encryption Mode

Related-Mode Attacks on CTR Encryption Mode Internatonal Journal of Network Securty, Vol.4, No.3, PP.282 287, May 2007 282 Related-Mode Attacks on CTR Encrypton Mode Dayn Wang, Dongda Ln, and Wenlng Wu (Correspondng author: Dayn Wang) Key Laboratory

More information

Research and Application of Fingerprint Recognition Based on MATLAB

Research and Application of Fingerprint Recognition Based on MATLAB Send Orders for Reprnts to reprnts@benthamscence.ae The Open Automaton and Control Systems Journal, 205, 7, 07-07 Open Access Research and Applcaton of Fngerprnt Recognton Based on MATLAB Nng Lu* Department

More information

EYE CENTER LOCALIZATION ON A FACIAL IMAGE BASED ON MULTI-BLOCK LOCAL BINARY PATTERNS

EYE CENTER LOCALIZATION ON A FACIAL IMAGE BASED ON MULTI-BLOCK LOCAL BINARY PATTERNS P.G. Demdov Yaroslavl State Unversty Anatoly Ntn, Vladmr Khryashchev, Olga Stepanova, Igor Kostern EYE CENTER LOCALIZATION ON A FACIAL IMAGE BASED ON MULTI-BLOCK LOCAL BINARY PATTERNS Yaroslavl, 2015 Eye

More information

New dynamic zoom calibration technique for a stereo-vision based multi-view 3D modeling system

New dynamic zoom calibration technique for a stereo-vision based multi-view 3D modeling system New dynamc oom calbraton technque for a stereo-vson based mult-vew 3D modelng system Tao Xan, Soon-Yong Park, Mural Subbarao Dept. of Electrcal & Computer Engneerng * State Unv. of New York at Stony Brook,

More information

Panorama Mosaic Optimization for Mobile Camera Systems

Panorama Mosaic Optimization for Mobile Camera Systems S. J. Ha et al.: Panorama Mosac Optmzaton for Moble Camera Systems Panorama Mosac Optmzaton for Moble Camera Systems Seong Jong Ha, Hyung Il Koo, Sang Hwa Lee, Nam Ik Cho, Soo Kyun Km, Member, IEEE 27

More information

COMPLEX WAVELET TRANSFORM-BASED COLOR INDEXING FOR CONTENT-BASED IMAGE RETRIEVAL

COMPLEX WAVELET TRANSFORM-BASED COLOR INDEXING FOR CONTENT-BASED IMAGE RETRIEVAL COMPLEX WAVELET TRANSFORM-BASED COLOR INDEXING FOR CONTENT-BASED IMAGE RETRIEVAL Nader Safavan and Shohreh Kasae Department of Computer Engneerng Sharf Unversty of Technology Tehran, Iran skasae@sharf.edu

More information

Quick error verification of portable coordinate measuring arm

Quick error verification of portable coordinate measuring arm Quck error verfcaton of portable coordnate measurng arm J.F. Ouang, W.L. Lu, X.H. Qu State Ke Laborator of Precson Measurng Technolog and Instruments, Tanjn Unverst, Tanjn 7, Chna Tel.: + 86 [] 7-8-99

More information

Six-Band HDTV Camera System for Color Reproduction Based on Spectral Information

Six-Band HDTV Camera System for Color Reproduction Based on Spectral Information IS&T's 23 PICS Conference Sx-Band HDTV Camera System for Color Reproducton Based on Spectral Informaton Kenro Ohsawa )4), Hroyuk Fukuda ), Takeyuk Ajto 2),Yasuhro Komya 2), Hdeak Hanesh 3), Masahro Yamaguch

More information

PRÉSENTATIONS DE PROJETS

PRÉSENTATIONS DE PROJETS PRÉSENTATIONS DE PROJETS Rex Onlne (V. Atanasu) What s Rex? Rex s an onlne browser for collectons of wrtten documents [1]. Asde ths core functon t has however many other applcatons that make t nterestng

More information

Feature-based image registration using the shape context

Feature-based image registration using the shape context Feature-based mage regstraton usng the shape context LEI HUANG *, ZHEN LI Center for Earth Observaton and Dgtal Earth, Chnese Academy of Scences, Bejng, 100012, Chna Graduate Unversty of Chnese Academy

More information

Determining the Optimal Bandwidth Based on Multi-criterion Fusion

Determining the Optimal Bandwidth Based on Multi-criterion Fusion Proceedngs of 01 4th Internatonal Conference on Machne Learnng and Computng IPCSIT vol. 5 (01) (01) IACSIT Press, Sngapore Determnng the Optmal Bandwdth Based on Mult-crteron Fuson Ha-L Lang 1+, Xan-Mn

More information

Pictures at an Exhibition

Pictures at an Exhibition 1 Pctures at an Exhbton Stephane Kwan and Karen Zhu Department of Electrcal Engneerng Stanford Unversty, Stanford, CA 9405 Emal: {skwan1, kyzhu}@stanford.edu Abstract An mage processng algorthm s desgned

More information

A Secured Method for Image Steganography Based On Pixel Values

A Secured Method for Image Steganography Based On Pixel Values A Secured Method for Image Steganography Based On Pxel Values Tarun Gulat #, Sanskrt Gupta * # Assocate Professor, Electroncs and Communcaton Engneerng Department, MMEC, M.M.U., Mullana, Ambala, Haryana,

More information

An Image Compression Algorithm based on Wavelet Transform and LZW

An Image Compression Algorithm based on Wavelet Transform and LZW An Image Compresson Algorthm based on Wavelet Transform and LZW Png Luo a, Janyong Yu b School of Chongqng Unversty of Posts and Telecommuncatons, Chongqng, 400065, Chna Abstract a cylpng@63.com, b y27769864@sna.cn

More information

An Efficient Garbage Collection for Flash Memory-Based Virtual Memory Systems

An Efficient Garbage Collection for Flash Memory-Based Virtual Memory Systems S. J and D. Shn: An Effcent Garbage Collecton for Flash Memory-Based Vrtual Memory Systems 2355 An Effcent Garbage Collecton for Flash Memory-Based Vrtual Memory Systems Seunggu J and Dongkun Shn, Member,

More information

The Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole

The Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole Appled Mathematcs, 04, 5, 37-3 Publshed Onlne May 04 n ScRes. http://www.scrp.org/journal/am http://dx.do.org/0.436/am.04.584 The Research of Ellpse Parameter Fttng Algorthm of Ultrasonc Imagng Loggng

More information

Efficiency of grid representation and its algorithms for areal 3D scan data

Efficiency of grid representation and its algorithms for areal 3D scan data Journal of Mechancal Scence and Technology 23 (2009) 1234~1243 Journal of Mechancal Scence and Technology www.sprngerlnk.com/content/1738-494x DOI 10.1007/s12206-008-1014-4 Effcency of grd representaton

More information

Computational ghost imaging using a fieldprogrammable

Computational ghost imaging using a fieldprogrammable Computatonal ghost magng usng a feldprogrammable gate array IKUO HOSHI, * TOMOYOSHI SHIMOBABA, TAKASHI KAKUE, AND TOMOYOSHI ITO 1 Graduate School of Engneerng, Chba Unversty, 1-33, Yayo-cho, Inage-ku,

More information

Straight Line Detection Based on Particle Swarm Optimization

Straight Line Detection Based on Particle Swarm Optimization Sensors & ransducers 013 b IFSA http://www.sensorsportal.com Straght Lne Detecton Based on Partcle Swarm Optmzaton Shengzhou XU, Jun IE College of computer scence, South-Central Unverst for Natonaltes,

More information

ESTIMATION OF INTERIOR ORIENTATION AND ECCENTRICITY PARAMETERS OF A HYBRID IMAGING AND LASER SCANNING SENSOR

ESTIMATION OF INTERIOR ORIENTATION AND ECCENTRICITY PARAMETERS OF A HYBRID IMAGING AND LASER SCANNING SENSOR ESTIMATION OF INTERIOR ORIENTATION AND ECCENTRICITY PARAMETERS OF A HYBRID IMAGING AND LASER SCANNING SENSOR A. Wendt a, C. Dold b a Insttute for Appled Photogrammetry and Geonformatcs, Unversty of Appled

More information

Lecture #15 Lecture Notes

Lecture #15 Lecture Notes Lecture #15 Lecture Notes The ocean water column s very much a 3-D spatal entt and we need to represent that structure n an economcal way to deal wth t n calculatons. We wll dscuss one way to do so, emprcal

More information

MULTISPECTRAL IMAGES CLASSIFICATION BASED ON KLT AND ATR AUTOMATIC TARGET RECOGNITION

MULTISPECTRAL IMAGES CLASSIFICATION BASED ON KLT AND ATR AUTOMATIC TARGET RECOGNITION MULTISPECTRAL IMAGES CLASSIFICATION BASED ON KLT AND ATR AUTOMATIC TARGET RECOGNITION Paulo Quntlano 1 & Antono Santa-Rosa 1 Federal Polce Department, Brasla, Brazl. E-mals: quntlano.pqs@dpf.gov.br and

More information

A Computer Vision System for Automated Container Code Recognition

A Computer Vision System for Automated Container Code Recognition A Computer Vson System for Automated Contaner Code Recognton Hsn-Chen Chen, Chh-Ka Chen, Fu-Yu Hsu, Yu-San Ln, Yu-Te Wu, Yung-Nen Sun * Abstract Contaner code examnaton s an essental step n the contaner

More information

Skew Angle Estimation and Correction of Hand Written, Textual and Large areas of Non-Textual Document Images: A Novel Approach

Skew Angle Estimation and Correction of Hand Written, Textual and Large areas of Non-Textual Document Images: A Novel Approach Angle Estmaton and Correcton of Hand Wrtten, Textual and Large areas of Non-Textual Document Images: A Novel Approach D.R.Ramesh Babu Pyush M Kumat Mahesh D Dhannawat PES Insttute of Technology Research

More information

Lecture 5: Multilayer Perceptrons

Lecture 5: Multilayer Perceptrons Lecture 5: Multlayer Perceptrons Roger Grosse 1 Introducton So far, we ve only talked about lnear models: lnear regresson and lnear bnary classfers. We noted that there are functons that can t be represented

More information

Invariant Shape Object Recognition Using B-Spline, Cardinal Spline, and Genetic Algorithm

Invariant Shape Object Recognition Using B-Spline, Cardinal Spline, and Genetic Algorithm Proceedngs of the 5th WSEAS Int. Conf. on Sgnal Processng, Robotcs and Automaton, Madrd, Span, February 5-7, 6 (pp4-45) Invarant Shape Obect Recognton Usng B-Splne, Cardnal Splne, and Genetc Algorthm PISIT

More information

VIDEO COMPLETION USING HIERARCHICAL MOTION ESTIMATION AND COLOR COMPENSATION

VIDEO COMPLETION USING HIERARCHICAL MOTION ESTIMATION AND COLOR COMPENSATION VIDEO COMPLETION USING HIERARCHICAL MOTION ESTIMATION AND COLOR COMPENSATION Jn-Hong Km 1, Rae-Hong Park 1 and Jno Lee 1 1 Department of Electronc Engneerng, Sogang Unversty, Seoul, Korea sosu02kjh@sogang.ac.kr,

More information

A PATTERN RECOGNITION APPROACH TO IMAGE SEGMENTATION

A PATTERN RECOGNITION APPROACH TO IMAGE SEGMENTATION 1 THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Seres A, OF THE ROMANIAN ACADEMY Volume 4, Number 2/2003, pp.000-000 A PATTERN RECOGNITION APPROACH TO IMAGE SEGMENTATION Tudor BARBU Insttute

More information

The Codesign Challenge

The Codesign Challenge ECE 4530 Codesgn Challenge Fall 2007 Hardware/Software Codesgn The Codesgn Challenge Objectves In the codesgn challenge, your task s to accelerate a gven software reference mplementaton as fast as possble.

More information

Finding Intrinsic and Extrinsic Viewing Parameters from a Single Realist Painting

Finding Intrinsic and Extrinsic Viewing Parameters from a Single Realist Painting Fndng Intrnsc and Extrnsc Vewng Parameters from a Sngle Realst Pantng Tadeusz Jordan 1, Davd G. Stork,3, Wa L. Khoo 1, and Zhgang Zhu 1 1 CUNY Cty College, Department of Computer Scence, Convent Avenue

More information

Local Quaternary Patterns and Feature Local Quaternary Patterns

Local Quaternary Patterns and Feature Local Quaternary Patterns Local Quaternary Patterns and Feature Local Quaternary Patterns Jayu Gu and Chengjun Lu The Department of Computer Scence, New Jersey Insttute of Technology, Newark, NJ 0102, USA Abstract - Ths paper presents

More information

A Gradient Difference based Technique for Video Text Detection

A Gradient Difference based Technique for Video Text Detection A Gradent Dfference based Technque for Vdeo Text Detecton Palaahnakote Shvakumara, Trung Quy Phan and Chew Lm Tan School of Computng, Natonal Unversty of Sngapore {shva, phanquyt, tancl }@comp.nus.edu.sg

More information

APPLICATION OF A COMPUTATIONALLY EFFICIENT GEOSTATISTICAL APPROACH TO CHARACTERIZING VARIABLY SPACED WATER-TABLE DATA

APPLICATION OF A COMPUTATIONALLY EFFICIENT GEOSTATISTICAL APPROACH TO CHARACTERIZING VARIABLY SPACED WATER-TABLE DATA RFr"W/FZD JAN 2 4 1995 OST control # 1385 John J Q U ~ M Argonne Natonal Laboratory Argonne, L 60439 Tel: 708-252-5357, Fax: 708-252-3 611 APPLCATON OF A COMPUTATONALLY EFFCENT GEOSTATSTCAL APPROACH TO

More information

Life Tables (Times) Summary. Sample StatFolio: lifetable times.sgp

Life Tables (Times) Summary. Sample StatFolio: lifetable times.sgp Lfe Tables (Tmes) Summary... 1 Data Input... 2 Analyss Summary... 3 Survval Functon... 5 Log Survval Functon... 6 Cumulatve Hazard Functon... 7 Percentles... 7 Group Comparsons... 8 Summary The Lfe Tables

More information

Module Management Tool in Software Development Organizations

Module Management Tool in Software Development Organizations Journal of Computer Scence (5): 8-, 7 ISSN 59-66 7 Scence Publcatons Management Tool n Software Development Organzatons Ahmad A. Al-Rababah and Mohammad A. Al-Rababah Faculty of IT, Al-Ahlyyah Amman Unversty,

More information

A Gradient Difference based Technique for Video Text Detection

A Gradient Difference based Technique for Video Text Detection 2009 10th Internatonal Conference on Document Analyss and Recognton A Gradent Dfference based Technque for Vdeo Text Detecton Palaahnakote Shvakumara, Trung Quy Phan and Chew Lm Tan School of Computng,

More information

Enhanced AMBTC for Image Compression using Block Classification and Interpolation

Enhanced AMBTC for Image Compression using Block Classification and Interpolation Internatonal Journal of Computer Applcatons (0975 8887) Volume 5 No.0, August 0 Enhanced AMBTC for Image Compresson usng Block Classfcaton and Interpolaton S. Vmala Dept. of Comp. Scence Mother Teresa

More information

Face Recognition University at Buffalo CSE666 Lecture Slides Resources:

Face Recognition University at Buffalo CSE666 Lecture Slides Resources: Face Recognton Unversty at Buffalo CSE666 Lecture Sldes Resources: http://www.face-rec.org/algorthms/ Overvew of face recognton algorthms Correlaton - Pxel based correspondence between two face mages Structural

More information

A Unified Framework for Semantics and Feature Based Relevance Feedback in Image Retrieval Systems

A Unified Framework for Semantics and Feature Based Relevance Feedback in Image Retrieval Systems A Unfed Framework for Semantcs and Feature Based Relevance Feedback n Image Retreval Systems Ye Lu *, Chunhu Hu 2, Xngquan Zhu 3*, HongJang Zhang 2, Qang Yang * School of Computng Scence Smon Fraser Unversty

More information

3D Face Reconstruction With Local Feature Refinement. Abstract

3D Face Reconstruction With Local Feature Refinement. Abstract , pp.6-74 http://dx.do.org/0.457/jmue.04.9.8.06 3D Face Reconstructon Wth Local Feature Refnement Rudy Adpranata, Kartka Gunad and Wendy Gunawan 3, formatcs Department, Petra Chrstan Unversty, Surabaya,

More information

Learning-Based Top-N Selection Query Evaluation over Relational Databases

Learning-Based Top-N Selection Query Evaluation over Relational Databases Learnng-Based Top-N Selecton Query Evaluaton over Relatonal Databases Lang Zhu *, Wey Meng ** * School of Mathematcs and Computer Scence, Hebe Unversty, Baodng, Hebe 071002, Chna, zhu@mal.hbu.edu.cn **

More information

Fingerprint Image Quality Fuzzy System

Fingerprint Image Quality Fuzzy System The Internatonal Arab Journal of Informaton Technology, Vol. 13, No. 1A, 2016 171 Fngerprnt Image Qualty Fuzzy System Abdelwahed Motwakel 1 and Adnan Shaout 2 1 Collage of Post Graduate Studes, Sudan Unversty

More information

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization Problem efntons and Evaluaton Crtera for Computatonal Expensve Optmzaton B. Lu 1, Q. Chen and Q. Zhang 3, J. J. Lang 4, P. N. Suganthan, B. Y. Qu 6 1 epartment of Computng, Glyndwr Unversty, UK Faclty

More information

A New Feature of Uniformity of Image Texture Directions Coinciding with the Human Eyes Perception 1

A New Feature of Uniformity of Image Texture Directions Coinciding with the Human Eyes Perception 1 A New Feature of Unformty of Image Texture Drectons Concdng wth the Human Eyes Percepton Xng-Jan He, De-Shuang Huang, Yue Zhang, Tat-Mng Lo 2, and Mchael R. Lyu 3 Intellgent Computng Lab, Insttute of Intellgent

More information

PCA Based Gait Segmentation

PCA Based Gait Segmentation Honggu L, Cupng Sh & Xngguo L PCA Based Gat Segmentaton PCA Based Gat Segmentaton Honggu L, Cupng Sh, and Xngguo L 2 Electronc Department, Physcs College, Yangzhou Unversty, 225002 Yangzhou, Chna 2 Department

More information

A fast algorithm for color image segmentation

A fast algorithm for color image segmentation Unersty of Wollongong Research Onlne Faculty of Informatcs - Papers (Arche) Faculty of Engneerng and Informaton Scences 006 A fast algorthm for color mage segmentaton L. Dong Unersty of Wollongong, lju@uow.edu.au

More information

Fast Feature Value Searching for Face Detection

Fast Feature Value Searching for Face Detection Vol., No. 2 Computer and Informaton Scence Fast Feature Value Searchng for Face Detecton Yunyang Yan Department of Computer Engneerng Huayn Insttute of Technology Hua an 22300, Chna E-mal: areyyyke@63.com

More information

Face Recognition Based on SVM and 2DPCA

Face Recognition Based on SVM and 2DPCA Vol. 4, o. 3, September, 2011 Face Recognton Based on SVM and 2DPCA Tha Hoang Le, Len Bu Faculty of Informaton Technology, HCMC Unversty of Scence Faculty of Informaton Scences and Engneerng, Unversty

More information

Gender Classification using Interlaced Derivative Patterns

Gender Classification using Interlaced Derivative Patterns Gender Classfcaton usng Interlaced Dervatve Patterns Author Shobernejad, Ameneh, Gao, Yongsheng Publshed 2 Conference Ttle Proceedngs of the 2th Internatonal Conference on Pattern Recognton (ICPR 2) DOI

More information