Angle domain illumination analysis along a target horizon Jian Mao, Sang Suh and Bin Wang, TGS

Size: px
Start display at page:

Download "Angle domain illumination analysis along a target horizon Jian Mao, Sang Suh and Bin Wang, TGS"

Transcription

1 Downloaded /9/3 to Reditibution ubject to SEG licene o copyiht; ee Tem of Ue at Anle domain illumination analyi alon a taet hoizon Jian Mao, San Suh and Bin Wan, TGS Summay We develop an efficient cheme of illumination analyi alon a taet hoizon. With thi cheme, we can calculate the Diectional Illumination (DI) fom the ouce and the Acquiition Dip Repone (ADR) alon a taet hoizon in vey hot tunaound time. Theefoe, it can be a ueful tool to tudy the influence of the model (e.. alt body) and the acquiition ytem (e.. hot ditibution and apetue ize). The eult can be a uide fo acquiition dein and model buildin. With the illumination map alon the taet hoizon, it alo i helpful fo the intepetation in aea whee the imae amplitude ae not eliable. Hee, we ue the wave-equation baed miation and local plane wave decompoition method to et the fequency domain illumination in the local anle domain. We pe-calculated and aved the anle domain Geen function alon the taet hoizon. Thee Geen function ae euable o that we can ave a lot of computational and I/O cot. We ue the 3D SEG/EAGE alt model and a eal model example to demontate the validity of ou method. Intoduction Seimic illumination analyi i a ueful tool that ive potential detectin powe of a pecific acquiition ytem fo a iven ubuface tuctue. Fo example, if thee a hue alt body in the uvey aea, which i vey common in Gulf of Mexico, we uually have illumination iue in the ubalt aea. The illumination analyi can ive u an etimation of the eney ditibution in thoe aea, which can help u impove ou acquiition dein and et bette undetandin of the miation imae. Both ay tacin (Bea et al., ) and wave-equation baed illumination analyi method (Rickett, 3; Jin and Xu, ) have been developed in ecent yea. Ray-baed method ae efficient, but will have lae eo when the model i complex. Theefoe we pefe wave-equation baed method. Becaue the ubuface tuctue uually have cetain dippin anle and the total illumination cannot ive u any anle infomation, a lot of effot ha been made towad anle domain illumination (Wu and Chen, ; Xie et al., ; Cao and Wu, 9). Anle decompoition i vey expenive, epecially in the 3D cae. To make the calculation moe efficient, we made ome implementation fo hih pefomance illumination analyi in the 3D cae (Mao and Wu, 7; Mao et al., ). The ouce ide illumination (DI) i elatively eay to calculate. Howeve, the illumination of a ouce coupled with eceive i moe impotant and i a moe accuate etimation of the ubuface illumination fo a iven acquiition ytem. We call thi kind of illumination Acquiition Dip Repone (ADR). A imila appoach uin ay-tacin ha been epoted by Lecomte (), and i widely ued thouh NORSAR oftwae. Howeve, if the taet hoizon i in a complex aea uch a ubalt, a waveequation popaato i moe accuate. In ode to calculate ADR, we need to calculate the Geen function fo evey eceive, which i vey expenive fo a lae model and lae data et. In a eal cae, we uually focu on a hoizon which could be a eevoi eal. A a eult, we popoed to calculate the illumination alon a taet hoizon, which i affodable and efficient. In thi pape, we develop an efficient cheme of illumination analyi alon a taet hoizon. Hee, we ue the wave-equation baed miation and local plane wave decompoition method to et the fequency domain illumination in the local anle domain. Since we pecalculated and aved the anle domain Geen function on the taet hoizon, we only need to fom the illumination by the ummation of the Geen function combination fo the iven acquiition ytem. Thi cheme povide a ueful tool fo acquiition dein and analyzin the imae amplitude. We calculated eveal numeical example includin the DI and ADR map fo the 3D SEG/EAGE alt model and a eal model on ome iven taet hoizon. Illumination analyi in the local anle domain Fo a iven acquiition eomety, we ue a wave-equation baed popaato to et the fequency-pace domain Geen function fom the ouce to the ubuface point (x,z). The pace domain Geen function can be decompoed at the imae eion to a ummation of local wavenumbe component. That i Gx, z,, Gx, z, θ,,, () θ whee G, z,, function and G, z,,, x i the fequency-pace Geen x θ i it local-anle component at θ. In the 3D cae, θ i a two dimenional vecto,,, which ae dip anle and azimuthal anle, epectively. Similaly, the fequency-pace Geen function fom the ubuface point (x,z) to eceive can be decompoed Gx, z,, Gx, z, θ,,, () θ whee G, z,, function and G, z,,, x i the fequency-pace Geen x θ i it local-anle 3 SEG DOI SEG Houton 3 Annual Meetin Pae 9

2 Anle domain illumination analyi alon a taet hoizon Downloaded /9/3 to Reditibution ubject to SEG licene o copyiht; ee Tem of Ue at component at θ. We ue the ecipocity pinciple in the calculation of the eceive Geen function, which mean we calculate the Geen function fom the eceive to the ubuface point and ue it fo ou illumination analyi. In ode to evaluate the local anle domain illuminationn eney ditibution fo a iven acquiition ytem in a velocity model, we um up the contibution fom all the ouce at the imae point, fo each local anle. That i D ax, z, θ, G x, z, θ,,, (3) whee D a Then we can et the total illumination by the ummation of all the anle D tot tal x, z, G x, z, θ,,. () In ode to evaluate the apetue and popaation effect of the iven acquiition eomety on eney ditibution fo a pecific pai of incident/eceivin anle, we ue unit impule a the ouce at both ouce and eceive point fo the entie acquiition confiuation and aume a unit cattein coefficient at each pace point. Fo a iven taett hoizon, we know the poition of the hoizon in the model. Then we can calculate the nomal anle at evey point on the hoizon. In thi cae, we have a et of local incident anle, θ. The coepondin eceivin anle, θ, can anle at point (x,z) on the taet hoizon. Then we can et a numbe of ADR on the hoizon, which ae defined a A x, z, θ, θ, G x, z, θ,, Gx, z, θ,,. () x, z, θ, i the diectional illumination map. θ be calculated by θ θ θ, whee θ i the nomal n We can futhe um up all the eflected eney to et the total ADR a follow A d x, z, Ex, z, θ, θ,. () θ, θ The value of the ADR map meaue the dip-anle epone of the acquiition ytem, includin the ouce and eceive apetue, and popaation effect. Efficient cheme of illumination analyi alon the taet hoizon In ode to make the calculation fat, we developed a new cheme fo thi taet oiented illumination analyi. Uually, the apetue fo adjacent hot will have a bi ovelap aea. If we calculate the Geen function on each eceive location fo each hot, thee will be epeated calculation. So ou chemee i to calculate all the Geen function on the taet hoizon in the acquiition aea and ave them. Then we loop ove the hot and ead in the n Geen function ued in the apetue and fom the illumination. When we finih one hot, we keep the Geen function which ae located in the apetue of next hot, and ead in the Geen function which ae not ued in lat hot. Thi will ave a lot of I/O time. We ummaized the cheme in Fiue, which how how we do thee fat illumination cheme on the taet hoizon. Fiue : Flowchat of the illumination cheme Numeical example Fiue : Velocity lice fom the 3D SEG model To demontate the application of the illumination analyi, we fit calculated eveal numeical example uin the 3D SEG/EAGE alt velocity model. Thi example imulate the illumination condition of the -hot data et. The id ize fo the model i 7, 7 and cell alon the x, y and z axe, epectively, with m fo both the hoizontal and depth h inteval. Fiue i a velocity lice fom the model. The oane line indicate the picked hoizon in the ubalt aea. Next, we calculated the DI and ADR map on the taet hoizon. We calculated anle domain DI and ADR map with a et of incident anle. In Fiue 3, we onlyy elected theee anle component to 3 SEG DOI SEG Houton 3 Annual Meetin Pae 9

3 Anle domain illumination analyi alon a taet hoizon Downloaded /9/3 to Reditibution ubject to SEG licene o copyiht; ee Tem of Ue at plot. DI map only how how much eney can be popaated to the taet hoizon. ADR map can etimatee how much eney can be eceived by the iven acquiition ytem. A a eult, ADR will be moe conitent with the imae amplitude. Afte a ummation, we can et the total ADR a hown in Fiue. Fiue 3: Anle domain DI map (left hand ide) and the coepondin ADR map (iht hand ide) fo the taet hoizon. The incident anle fo thee DI and ADR map ae (, ), (, ) and (, ) fom top to the bottom. CDP( (km) CDP( (km) x Fiue : A field data et (uppe: velocity model, lowe: miation imae) Fiue : Total ADR map on the taet hoizon Fiue : Subalt taet hoizon in the field data model Then we wok on a field data example model. Fiue how the velocity cube and RTM imae, whichh ha a couple of alt bodie in it. We can ee the imae amplitude i nott balanced in thee ub-alt aea due to the illumination poblem, in uch aea illumination analyi will be helpful fo futue acquiition dein. Fiue how the depth location of a ivenn taet hoizon. We eneated two diffeent acquiition ytem fo tetin (the apetue ize fo thee two ytem ae the ame but the hot ae located on diffeent ide of the apetue). Fiue 7 and ae the DI and ADR map fo Acquiition on the taet hoizon. Fiue 9 i the totall ADR. Fiue and ae anle domain ADR and total ADR map on the taet hoizon fo Acquiition. Fom thee eult, we can ee that the illuminated aea ae diffeent fo diffeent acquiition ytem. A a eult, we can ue the illumination eult a a uide when we dein cetain acquiition eometie to illuminate cetain taet aea. Afte we do the miation, 3 SEG DOI SEG Houton 3 Annual Meetin Pae 93

4 Anle domain illumination analyi alon a taet hoizon Downloaded /9/3 to Reditibution ubject to SEG licene o copyiht; ee Tem of Ue at we can alo ue thee map to compenate fo the imae amplitude alon the taet hoizon. Fiue 7: DI map fo the taet hoizon. The incident anle fo thee thee DI map ae (, ), (, ) and (, ). Fiue : ADR map on the taet hoizon. The incident anle fo thee thee DI map ae (, ), (, ) and (, ). Fiue 9: Total ADR on the taet hoizon.. x x x x 7 Fiue : ADR map on the taet hoizon. The incident anle fo thee thee DI map ae (, ), (, ) and (, ). Concluion Fiue : Total ADR on the taet hoizon We developed an efficient method of anle domain illumination analyi alon a taet hoizon. The DI and ADR map on the taet hoizon can be vey ueful fo acquiition dein and fo the intepete when the imae amplitude i uneliable on the hoizon. Numeical example of the 3D SEG/EAGE alt model and a field data model illutated the validity and efficiency of the new cheme. Fo futhe wok, we may develop an amplitude compenation method to eneate AVO fiendly anle athe. Acknowledement x We thank TGS fo the pemiion to publih thi wok. We alo thank Zhimin Li, Jean Ji, Ioan Vlad, Yan He, and Xian Xiao fo helpful dicuion, and Lauie Geie and Chuck Maon fo eviewin thi pape. x x x 7 3 SEG DOI SEG Houton 3 Annual Meetin Pae 9

5 Downloaded /9/3 to Reditibution ubject to SEG licene o copyiht; ee Tem of Ue at EDITED REFERENCES Note: Thi efeence lit i a copy-edited veion of the efeence lit ubmitted by the autho. Refeence lit fo the 3 SEG Technical Poam Expanded Abtact have been copy edited o that efeence povided with the online metadata fo each pape will achieve a hih deee of linkin to cited ouce that appea on the Web. REFERENCES Bea, G., C.-P. Lu, R. Lu, D. Willen, and I. Waton,, The contuction of ubuface illumination and amplitude map via ay tacin: The Leadin Ede, 9, 7 7, Cao, J., and R.-S. Wu, 9, Full-wave diectional illumination analyi in the fequency domain: Geophyic, 7, no., S S93, Jin, S., and S. Xu,, Viibility analyi fo taet-oiented evee time miation and optimizin acquiition paamete: The Leadin Ede, 9, , Lecomte, I.,, Illumination, eolution, and incidence-anle in PSDM: A tutoial: 7th Annual Intenational Meetin, SEG, Expanded Abtact,. Mao, J., and R.-S. Wu, 7, Illumination analyi uin local exponential beamlet: 77th Annual Intenational Meetin, SEG, Expanded Abtact, Mao, J., R.-S. Wu, and J.-H. Gao,, Diectional illumination analyi uin the local exponential fame: Geophyic, 7, no., S3 S7, Rickett, J. E., 3, Illumination-baed nomalization fo wave-equation depth miation: Geophyic,, , Wu, R.-S., and L. Chen,, Diectional illumination analyi uin beamlet decompoition and popaation: Geophyic, 7, no., S7 S9, Xie, X.-B., S. Jin, and R.-S. Wu,, Wave-equation-baed eimic illumination analyi: Geophyic, 7, no., S9 S77, 3 SEG DOI SEG Houton 3 Annual Meetin Pae 9

P284 A Full-wave Equation Based Seismic Illumination Analysis Method

P284 A Full-wave Equation Based Seismic Illumination Analysis Method P284 A Full-wave Equation Baed Seimic Illumination Analyi Method X.-B. Xie* (Univeity of Califonia) & H. Yang (Univeity of Califonia) SUMMARY We popoe a full-wave equation baed method fo eimic illumination

More information

Source-independent Hessian-free Gauss-Newton Full-waveform Inversion

Source-independent Hessian-free Gauss-Newton Full-waveform Inversion Souce-independent Heian-fee Gau-Newton Full-wavefom Inveion Wenyong Pan and Ki Innanen CREWES Poject Depatment of Geocience Univeity of Calgay Summay The etimation of ouce wavelet i vey impotant fo implementing

More information

IEEE C802.16m-07/060. IEEE Broadband Wireless Access Working Group <http://ieee802.org/16>

IEEE C802.16m-07/060. IEEE Broadband Wireless Access Working Group <http://ieee802.org/16> 007-3-5 IEEE C80.6m-07/060 Poject Title Date Submitted IEEE 80.6 Boadband Wiele Acce Woking Goup Coelation Model fo Shadow Fading Simulation 007-3-5 Souce() I-Kang Fu, Chi-Fang Li,

More information

SPMI 5.7. SEG/Houston 2005 Annual Meeting 1962

SPMI 5.7. SEG/Houston 2005 Annual Meeting 1962 pplication of beamlet propaator to miration amplitude correction Shenwen Jin 1, Minqiu Luo 1,2, Ru-Shan Wu 2, and David Walraven 3 1 Screen main Technoloy, nc., Houton, TX 77074 2 ntitute of Geophyic and

More information

ACQUISITION APERTURE CORRECTION IN ANGLE-DOMAIN TOWARDS THE TRUE- REFLECTION RTM

ACQUISITION APERTURE CORRECTION IN ANGLE-DOMAIN TOWARDS THE TRUE- REFLECTION RTM ACQUISITION APERTURE CORRECTION IN ANGLE-DOMAIN TOWARDS THE TRUE- REFLECTION RTM Rui Yan *, Huimin Guan, Xiao-Bi Xie, Ru-Shan Wu, IGPP, Eath an Planetay Sciences Depatment, Univesity of Califonia, Santa

More information

A Fast Texture Feature Extraction Method for Region-based Image Segmentation

A Fast Texture Feature Extraction Method for Region-based Image Segmentation A Fat extue Featue Extaction Method fo Region-baed Image Segmentation Hui Zhang *, Jaon E. Fitt, Sally A. Goldman Dept. of Compute Science and Engineeing, Wahington Univeity, One Booking Dive. St. Loui,

More information

( ) subject to m. e (2) L are 2L+1. = s SEG SEG Las Vegas 2012 Annual Meeting Page 1

( ) subject to m. e (2) L are 2L+1. = s SEG SEG Las Vegas 2012 Annual Meeting Page 1 A new imultaneou ource eparation algorithm uing frequency-divere filtering Ying Ji*, Ed Kragh, and Phil Chritie, Schlumberger Cambridge Reearch Summary We decribe a new imultaneou ource eparation algorithm

More information

Downloaded 10/23/13 to Redistribution subject to SEG license or copyright; see Terms of Use at

Downloaded 10/23/13 to Redistribution subject to SEG license or copyright; see Terms of Use at ACQUISITION APERTURE CORRECTION IN ANGLE-DOMAIN TOWARDS THE TRUE- REFLECTION RTM Rui Yan 1*, Huimin Guan 2, Xiao-Bi Xie 1, Ru-Shan Wu 1, 1 IGPP, Earth and Planetary Sciences Department, University of California,

More information

Optical Flow for Large Motion Using Gradient Technique

Optical Flow for Large Motion Using Gradient Technique SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol. 3, No. 1, June 2006, 103-113 Optical Flow fo Lage Motion Using Gadient Technique Md. Moshaof Hossain Sake 1, Kamal Bechkoum 2, K.K. Islam 1 Abstact: In this

More information

Improved Graph-Based Image Segmentation Based on Mean Shift 1

Improved Graph-Based Image Segmentation Based on Mean Shift 1 03 8th Intenational Confeence on Communication and Netwoking in China (CHINACOM) Impoved Gaph-Baed Image Segmentation Baed on Mean Shift Jianwen Mo, Chaoxuan Wang,Tong Zhang, Hua uan School of Infomation

More information

Prestack Migration/Imaging Using Synthetic Beam-Sources and Plane-Sources

Prestack Migration/Imaging Using Synthetic Beam-Sources and Plane-Sources Pretack Migration/Imaging Uing Synthetic Beam-Source and Plane-Source Ru-Shan Wu, Ling Chen and Yongzhong Wang Modeling and Imaging Laboratory, IGPP, Univerity of California, Santa Cruz, CA 95064, USA

More information

Chinese Traffic Police Gesture Recognition in Complex Scene

Chinese Traffic Police Gesture Recognition in Complex Scene 0 Intenational oint Confeence of IEEE TutCom-/IEEE ICESS-/FCST- Chinee Taffic Police Getue Recognition in Complex Scene Fan Guo, Zixing Cai, in Tang School of Infomation Science and Engineeing Cental South

More information

Outage Probability in Arbitrarily-Shaped Finite Wireless Networks

Outage Probability in Arbitrarily-Shaped Finite Wireless Networks 1 Outage Pobability in Abitaily-Shaped Finite Wiele Netwok Jing Guo, Student Membe, IEEE, Salman Duani, Senio Membe, IEEE, and Xiangyun Zhou, Membe, IEEE axiv:134.6172v4 [c.it] 2 Dec 213 Abtact Thi pape

More information

A New and Efficient 2D Collision Detection Method Based on Contact Theory Xiaolong CHENG, Jun XIAO a, Ying WANG, Qinghai MIAO, Jian XUE

A New and Efficient 2D Collision Detection Method Based on Contact Theory Xiaolong CHENG, Jun XIAO a, Ying WANG, Qinghai MIAO, Jian XUE 5th Intenational Confeence on Advanced Mateials and Compute Science (ICAMCS 2016) A New and Efficient 2D Collision Detection Method Based on Contact Theoy Xiaolong CHENG, Jun XIAO a, Ying WANG, Qinghai

More information

(a, b) x y r. For this problem, is a point in the - coordinate plane and is a positive number.

(a, b) x y r. For this problem, is a point in the - coordinate plane and is a positive number. Illustative G-C Simila cicles Alignments to Content Standads: G-C.A. Task (a, b) x y Fo this poblem, is a point in the - coodinate plane and is a positive numbe. a. Using a tanslation and a dilation, show

More information

A Consistent, User Friendly Interface for Running a Variety of Underwater Acoustic Propagation Codes

A Consistent, User Friendly Interface for Running a Variety of Underwater Acoustic Propagation Codes Poceedings of ACOUSTICS 6 - Novembe 6, Chistchuch, New Zealand A Consistent, Use Fiendly Inteface fo Running a Vaiety of Undewate Acoustic Popagation Codes Alec J Duncan, Amos L Maggi Cente fo Maine Science

More information

Detection and Recognition of Alert Traffic Signs

Detection and Recognition of Alert Traffic Signs Detection and Recognition of Alet Taffic Signs Chia-Hsiung Chen, Macus Chen, and Tianshi Gao 1 Stanfod Univesity Stanfod, CA 9305 {echchen, macuscc, tianshig}@stanfod.edu Abstact Taffic signs povide dives

More information

A Design of Overlay Anonymous Multicast Protocol

A Design of Overlay Anonymous Multicast Protocol A Deign of Ovelay Anonymou Multicat Potocol Li Xiao, Xiaomei Liu, Wenun Gu, Dong Xuan, Yunhao Liu 3 Dept. of Compute Science and Engineeing, Michigan State Univeity, Eat Laning, MI 4884, USA Dept. of Compute

More information

3D High-Resolution Imaging Using Separated Wavefields

3D High-Resolution Imaging Using Separated Wavefields 3D High-Reolution Imaging Uing Separated Wavefield S. Lu (Petroleum Geo-Service), N.D. Whitmore (Petroleum Geo- Service), H. LeGleut (Petroleum Geo-Service) & A. Long (Petroleum Geo- Service) SUMMARY Conventional

More information

Positioning of a robot based on binocular vision for hand / foot fusion Long Han

Positioning of a robot based on binocular vision for hand / foot fusion Long Han 2nd Intenational Confeence on Advances in Mechanical Engineeing and Industial Infomatics (AMEII 26) Positioning of a obot based on binocula vision fo hand / foot fusion Long Han Compute Science and Technology,

More information

Computer Vision - Histogram Processing. Dr. S. Das IIT Madras, CHENNAI - 36

Computer Vision - Histogram Processing. Dr. S. Das IIT Madras, CHENNAI - 36 Comute Viion - Hitogam Poceing D. S. Da IIT Mada, CHENNAI - 36 HISTOGRAM In a gay level image the obabilitie aigned to each gay level can be given by the elation: n, N Inut image,,2...l - - The nomalized

More information

K-Nearest Neighbors Algorithm: Prediction and Classification

K-Nearest Neighbors Algorithm: Prediction and Classification K-Neaet Neighbo Algoithm: Peiction an Claification Pof. Thoma B. Fomb Depatment of Economic Southen Methoit Univeit Dalla, TX 7575 Febua 8 A NONPARAMETRIC METHOD The K-Neaet Neighbo (K-NN algoithm i a

More information

An Extension to the Local Binary Patterns for Image Retrieval

An Extension to the Local Binary Patterns for Image Retrieval , pp.81-85 http://x.oi.og/10.14257/astl.2014.45.16 An Extension to the Local Binay Pattens fo Image Retieval Zhize Wu, Yu Xia, Shouhong Wan School of Compute Science an Technology, Univesity of Science

More information

A Mathematical Implementation of a Global Human Walking Model with Real-Time Kinematic Personification by Boulic, Thalmann and Thalmann.

A Mathematical Implementation of a Global Human Walking Model with Real-Time Kinematic Personification by Boulic, Thalmann and Thalmann. A Mathematical Implementation of a Global Human Walking Model with Real-Time Kinematic Pesonification by Boulic, Thalmann and Thalmann. Mashall Badley National Cente fo Physical Acoustics Univesity of

More information

Dynamic Virtual Network Embedding based on Auction-Game Theory NingNing Liang 1, JuLong Lan 1, YunFu Long 2, GuanYing Liu 2

Dynamic Virtual Network Embedding based on Auction-Game Theory NingNing Liang 1, JuLong Lan 1, YunFu Long 2, GuanYing Liu 2 Intenational Confeence on Advance in Mechanical Engineeing and Indutial Infomatic (AMEII 2015) Dynamic Vitual etwok Embedding baed on Auction-Game Theoy inging Liang 1, JuLong Lan 1, YunFu Long 2, GuanYing

More information

Lecture overview. Visualisatie BMT. Visualization pipeline. Data representation. Discrete data. Sampling. Data Datasets Interpolation

Lecture overview. Visualisatie BMT. Visualization pipeline. Data representation. Discrete data. Sampling. Data Datasets Interpolation Viualiatie BMT Lectue oveview Data Dataet Intepolation Data epeentation Ajan Kok a.j.f.kok@tue.nl 2 Viualization pipeline Raw Data Data Enichment/Enhancement Deived Data Data epeentation Viualization data

More information

EE 168 Handout #32 Introduction to Digital Image Processing March 7, 2012 HOMEWORK 7 SOLUTIONS

EE 168 Handout #32 Introduction to Digital Image Processing March 7, 2012 HOMEWORK 7 SOLUTIONS EE 168 Handout #32 Intoduction to Diital Imae Pocessin Mach 7, 2012 HOMEWORK 7 SOLUTIONS Polem 1: Colo Wheels We can epesent an N x N colo imae y a thee-dimensional aay such that the fist two dimensions

More information

Applications. Sumit Basu*, Kentaro Toyamay, and Alex Pentland* *MIT Media Laboratory and ymicrosoft Research.

Applications. Sumit Basu*, Kentaro Toyamay, and Alex Pentland* *MIT Media Laboratory and ymicrosoft Research. M.I.T Media Laboatoy Peceptual Computing Section Technical Repot No. 486 ubmitted to ICCV'99 A Conitent Method fo Function Appoximation in Meh-baed Application Sumit Bau*, Kentao Toyamay, and Alex Pentland*

More information

Main Menu. Summary. Introduction

Main Menu. Summary. Introduction Local-angle domain illumination for full-wave propagators Jun Cao* and Ru-Shan Wu Department of Earth and Planetary Sciences/IGPP, University of California, Santa Cruz Summary We propose an efficient split-step

More information

Validation Plan for SPDM Task Verification Facility

Validation Plan for SPDM Task Verification Facility Poceeding of the 7 th Intenational Sympoium on Atificial Intelligence, Robotic and Automation in Space: i-sairas 2003, NARA, Japan, May 19-23, 2003 Validation Plan fo Tak Veification Facility Ou Ma New

More information

where f(x, y): input image, g(x, y): processed image, and T: operator Or: s = T(r), where r: input pixel, and s: output pixel

where f(x, y): input image, g(x, y): processed image, and T: operator Or: s = T(r), where r: input pixel, and s: output pixel 3 Intenit Tanfomation and Spatial Filteing - Intenit tanfomation Change the intenit of each piel in ode to enhance the image: g, T[f, ], whee f, : input image, g, : poceed image, and T: opeato O: T, whee

More information

Towards Adaptive Information Merging Using Selected XML Fragments

Towards Adaptive Information Merging Using Selected XML Fragments Towads Adaptive Infomation Meging Using Selected XML Fagments Ho-Lam Lau and Wilfed Ng Depatment of Compute Science and Engineeing, The Hong Kong Univesity of Science and Technology, Hong Kong {lauhl,

More information

Analysis of Circuit Switching for the Torus Interconnect Networks with Hot-Spot Traffic *

Analysis of Circuit Switching for the Torus Interconnect Networks with Hot-Spot Traffic * Analyi of Cicuit Switching fo the Tou Inteconnect Netwok with Hot-Spot Taffic * F. Safaei,3, A. Khonai,, M. Fathy 3, M. Ould-Khaoua 4 IPM School of Compute Science, Tehan, Ian Dept. of Electical and Compute

More information

Efficient Translation of Network Performance Parameters for Transport of IP Packets over Cell-Switched Subnetworks

Efficient Translation of Network Performance Parameters for Transport of IP Packets over Cell-Switched Subnetworks Efficient Tanlation of Netwok Pefomance Paamete fo Tanpot of IP Packet ove Cell-Switched Subnetwok Jen Schmitt 1, Matin Katen 1, and Ralf Steinmetz 1,2 1 Indutial Poce and Sytem Communication, Damtadt

More information

Monte Carlo Techniques for Rendering

Monte Carlo Techniques for Rendering Monte Calo Techniques fo Rendeing CS 517 Fall 2002 Compute Science Conell Univesity Announcements No ectue on Thusday Instead, attend Steven Gotle, Havad Upson Hall B17, 4:15-5:15 (efeshments ealie) Geomety

More information

2. PROPELLER GEOMETRY

2. PROPELLER GEOMETRY a) Fames of Refeence 2. PROPELLER GEOMETRY 10 th Intenational Towing Tank Committee (ITTC) initiated the pepaation of a dictionay and nomenclatue of ship hydodynamic tems and this wok was completed in

More information

CS 548: COMPUTER GRAPHICS QUATERNIONS SPRING 2015 DR. MICHAEL J. REALE

CS 548: COMPUTER GRAPHICS QUATERNIONS SPRING 2015 DR. MICHAEL J. REALE CS 548: COMPUTER GRAPHICS QUATERNIONS SPRING 5 DR. MICHAEL J. REALE http://common.ikimedia.og/iki/fi le%3awilliam_roan_hamilton_pot ait_oal_combined.png INTRODUCTION Quatenion inented b Si William Roan

More information

A REGION-BASED TECHNIQUE FOR FUSION OF HIGH RESOLUTION IMAGES USING MEAN SHIFT SEGMENTATION

A REGION-BASED TECHNIQUE FOR FUSION OF HIGH RESOLUTION IMAGES USING MEAN SHIFT SEGMENTATION REGION-BSED TECHNIQUE FOR FUSION OF HIGH RESOLUTION IMGES USING MEN SHIFT SEGMENTTION Li Shuang a, Li Zhilin a, b a LIESMRS, Wuhan Univeit, P.R. China - lihuang9@gmail.com b Dept. of Land Suveing and Geo-Infomatic,

More information

Multi-azimuth Prestack Time Migration for General Anisotropic, Weakly Heterogeneous Media - Field Data Examples

Multi-azimuth Prestack Time Migration for General Anisotropic, Weakly Heterogeneous Media - Field Data Examples Multi-azimuth Pestack Time Migation fo Geneal Anisotopic, Weakly Heteogeneous Media - Field Data Examples S. Beaumont* (EOST/PGS) & W. Söllne (PGS) SUMMARY Multi-azimuth data acquisition has shown benefits

More information

We E D Inverse Scattering Series Method for Internal Multiple Attenuation

We E D Inverse Scattering Series Method for Internal Multiple Attenuation We E10 06 D Invere Scatterin Serie Method for Internal Multiple Attenuation M. Wan* (CGG) & B. Hun (CGG) SUMMARY In thi paper, we how the firt application of the D invere catterin erie (ISS) method for

More information

Color and Glossiness Reproduction of 3D Object Surface

Color and Glossiness Reproduction of 3D Object Surface IS&T 1999 PICS Confeence Colo an Gloine Repouction of 3D Object Suface Hieaki Haneihi, Takuya Ianami, Tomoyuki Honma, Noimichi Tumua an Yoichi Miyake Depatment of Infomation an Image Science, Chiba Univeity

More information

10/29/2010. Rendering techniques. Global Illumination. Local Illumination methods. Today : Global Illumination Modules and Methods

10/29/2010. Rendering techniques. Global Illumination. Local Illumination methods. Today : Global Illumination Modules and Methods Rendeing techniques Compute Gaphics Lectue 10 Can be classified as Local Illumination techniques Global Illumination techniques Global Illumination 1: Ray Tacing and Radiosity Taku Komua 1 Local Illumination

More information

IP Network Design by Modified Branch Exchange Method

IP Network Design by Modified Branch Exchange Method Received: June 7, 207 98 IP Netwok Design by Modified Banch Method Kaiat Jaoenat Natchamol Sichumoenattana 2* Faculty of Engineeing at Kamphaeng Saen, Kasetsat Univesity, Thailand 2 Faculty of Management

More information

POMDP: Introduction to Partially Observable Markov Decision Processes Hossein Kamalzadeh, Michael Hahsler

POMDP: Introduction to Partially Observable Markov Decision Processes Hossein Kamalzadeh, Michael Hahsler POMDP: Intoduction to Patially Obsevable Makov Decision Pocesses Hossein Kamalzadeh, Michael Hahsle 2019-01-02 The R package pomdp povides an inteface to pomdp-solve, a solve (witten in C) fo Patially

More information

ICRU Recommended Dose and Volume Specification for Reporting Interstitial Brachytherapy

ICRU Recommended Dose and Volume Specification for Reporting Interstitial Brachytherapy ICRU Recommended ose and Volume pecification fo Repotin Intestitial Bachytheapy Ali. Meiooni Ph.. Univesity of entucky Medical Cente epatment of Radiation Medicine exinton Y Table of Contents Intoduction

More information

Lecture # 04. Image Enhancement in Spatial Domain

Lecture # 04. Image Enhancement in Spatial Domain Digital Image Pocessing CP-7008 Lectue # 04 Image Enhancement in Spatial Domain Fall 2011 2 domains Spatial Domain : (image plane) Techniques ae based on diect manipulation of pixels in an image Fequency

More information

Lecture 14: Minimum Spanning Tree I

Lecture 14: Minimum Spanning Tree I COMPSCI 0: Deign and Analyi of Algorithm October 4, 07 Lecture 4: Minimum Spanning Tree I Lecturer: Rong Ge Scribe: Fred Zhang Overview Thi lecture we finih our dicuion of the hortet path problem and introduce

More information

m a g a Z i n e n e w s s i t e n e w s l e t t e r e t n d i r e c t w e l o v e e l e c t r o n i c s 2 4 / 7 / 3 6 5!

m a g a Z i n e n e w s s i t e n e w s l e t t e r e t n d i r e c t w e l o v e e l e c t r o n i c s 2 4 / 7 / 3 6 5! Media Kit 2017 m a g a Z i n e n e w i t e n e w l e t t e e t n d i e c t w e l o v e e l e c t o n i c 2 4 / 7 / 3 6 5! elektoniktidningen p 2 (6) Elektoniktidningen povide the Swedih electonic induty

More information

Boundary Preserving Joint Estimation of Optical Flow and Disparity in a Sequence of Stereoscopic Images

Boundary Preserving Joint Estimation of Optical Flow and Disparity in a Sequence of Stereoscopic Images Bounday Peeving oint Etimation of Optical Flow and Dipaity in a Sequence of Steeocopic Image H. Weile, A. Mitiche, A. Manoui INRS-EMT Place Bonaventue 8 ue de la Gauchetiee O. Suite 69 Monteal, Quebec

More information

Representing Texture Images Using Asymmetric Gray Level Aura Matrices

Representing Texture Images Using Asymmetric Gray Level Aura Matrices Repeenting Textue Image Uing Aymmetic Gay Level Aua Matice Xueie Qin Yee-Hong Yang {xuq, yang}@c.ualbeta.ca Depatment of Computing Science Univeity of Albeta Abtact In thi pape, we peent a new mathematical

More information

CS 450: COMPUTER GRAPHICS QUATERNIONS SPRING 2016 DR. MICHAEL J. REALE

CS 450: COMPUTER GRAPHICS QUATERNIONS SPRING 2016 DR. MICHAEL J. REALE CS 45: COMPUTER GRAPHICS QUATERNIONS SPRING 6 DR. MICHAEL J. REALE http://common.ikimedia.og/iki/fi le%3awilliam_roan_hamilton_pot ait_oal_combined.png INTRODUCTION Quatenion inented b Si William Roan

More information

Prof. Feng Liu. Fall /17/2016

Prof. Feng Liu. Fall /17/2016 Pof. Feng Liu Fall 26 http://www.cs.pdx.edu/~fliu/couses/cs447/ /7/26 Last time Compositing NPR 3D Gaphics Toolkits Tansfomations 2 Today 3D Tansfomations The Viewing Pipeline Mid-tem: in class, Nov. 2

More information

User Specified non-bonded potentials in gromacs

User Specified non-bonded potentials in gromacs Use Specified non-bonded potentials in gomacs Apil 8, 2010 1 Intoduction On fist appeaances gomacs, unlike MD codes like LAMMPS o DL POLY, appeas to have vey little flexibility with egads to the fom of

More information

17/5/2009. Introduction

17/5/2009. Introduction 7/5/9 Steeo Imaging Intoduction Eample of Human Vision Peception of Depth fom Left and ight eye images Diffeence in elative position of object in left and ight eyes. Depth infomation in the views?? 7/5/9

More information

5 4 THE BERNOULLI EQUATION

5 4 THE BERNOULLI EQUATION 185 CHATER 5 the suounding ai). The fictional wok tem w fiction is often expessed as e loss to epesent the loss (convesion) of mechanical into themal. Fo the idealied case of fictionless motion, the last

More information

Physical simulation for animation

Physical simulation for animation Physical simulation fo animation Case study: The jello cube The Jello Cube Mass-Sping System Collision Detection Integatos Septembe 17 2002 1 Announcements Pogamming assignment 3 is out. It is due Tuesday,

More information

Biometric authentication using digital retinal images

Biometric authentication using digital retinal images Biometic authentication uing digital etinal image M. ORTEGA, C.MARIÑO, M.G.PENEDO, M.BLANCO, F.GONZÁLEZ Gupo de Viión Atificial y Reconocimiento de Patone Univeity of A Couña Campu de Elviña /n, A Couña,

More information

Journal of World s Electrical Engineering and Technology J. World. Elect. Eng. Tech. 1(1): 12-16, 2012

Journal of World s Electrical Engineering and Technology J. World. Elect. Eng. Tech. 1(1): 12-16, 2012 2011, Scienceline Publication www.science-line.com Jounal of Wold s Electical Engineeing and Technology J. Wold. Elect. Eng. Tech. 1(1): 12-16, 2012 JWEET An Efficient Algoithm fo Lip Segmentation in Colo

More information

ADDING REALISM TO SOURCE CHARACTERIZATION USING A GENETIC ALGORITHM

ADDING REALISM TO SOURCE CHARACTERIZATION USING A GENETIC ALGORITHM ADDING REALISM TO SOURCE CHARACTERIZATION USING A GENETIC ALGORITHM Luna M. Rodiguez*, Sue Ellen Haupt, and Geoge S. Young Depatment of Meteoology and Applied Reseach Laboatoy The Pennsylvania State Univesity,

More information

A Memory Efficient Array Architecture for Real-Time Motion Estimation

A Memory Efficient Array Architecture for Real-Time Motion Estimation A Memoy Efficient Aay Achitectue fo Real-Time Motion Estimation Vasily G. Moshnyaga and Keikichi Tamau Depatment of Electonics & Communication, Kyoto Univesity Sakyo-ku, Yoshida-Honmachi, Kyoto 66-1, JAPAN

More information

Strictly as per the compliance and regulations of:

Strictly as per the compliance and regulations of: Global Jounal of HUMAN SOCIAL SCIENCE Economics Volume 13 Issue Vesion 1.0 Yea 013 Type: Double Blind Pee Reviewed Intenational Reseach Jounal Publishe: Global Jounals Inc. (USA) Online ISSN: 49-460x &

More information

A Coarse-to-Fine Algorithm for 3D Registration based on Wavelet Decomposition

A Coarse-to-Fine Algorithm for 3D Registration based on Wavelet Decomposition A oae-to-fine Algoithm fo 3D Regitation baed on Wavelet Decompoition. TORRE-FERRERO, S. ROBLA, E.G. SARABIA, J.R. LLATA Electonic Technology, Sytem and Automation Engineeing Depatment Univeity of antabia

More information

[N309] Feedforward Active Noise Control Systems with Online Secondary Path Modeling. Muhammad Tahir Akhtar, Masahide Abe, and Masayuki Kawamata

[N309] Feedforward Active Noise Control Systems with Online Secondary Path Modeling. Muhammad Tahir Akhtar, Masahide Abe, and Masayuki Kawamata he 32nd International Congre and Expoition on Noie Control Engineering Jeju International Convention Center, Seogwipo, Korea, Augut 25-28, 2003 [N309] Feedforward Active Noie Control Sytem with Online

More information

On Error Estimation in Runge-Kutta Methods

On Error Estimation in Runge-Kutta Methods Leonado Jounal of Sciences ISSN 1583-0233 Issue 18, Januay-June 2011 p. 1-10 On Eo Estimation in Runge-Kutta Methods Ochoche ABRAHAM 1,*, Gbolahan BOLARIN 2 1 Depatment of Infomation Technology, 2 Depatment

More information

Downloaded 11/08/14 to Redistribution subject to SEG license or copyright; see Terms of Use at

Downloaded 11/08/14 to Redistribution subject to SEG license or copyright; see Terms of Use at Downloaded 11/08/14 to 50.131.5.33. Reditribution ubject to SEG licene or copyright; ee Term of Ue at http://library.eg.org/ Gauian beam baed enitivity kernel calculation and it application in turning

More information

Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters

Frequency Domain Approach for Face Recognition Using Optical Vanderlugt Filters Optics and Photonics Jounal, 016, 6, 94-100 Published Online August 016 in SciRes. http://www.scip.og/jounal/opj http://dx.doi.og/10.436/opj.016.68b016 Fequency Domain Appoach fo Face Recognition Using

More information

Concomitants of Upper Record Statistics for Bivariate Pseudo Weibull Distribution

Concomitants of Upper Record Statistics for Bivariate Pseudo Weibull Distribution Available at http://pvamuedu/aam Appl Appl Math ISSN: 93-9466 Vol 5, Issue (Decembe ), pp 8 9 (Peviously, Vol 5, Issue, pp 379 388) Applications and Applied Mathematics: An Intenational Jounal (AAM) Concomitants

More information

Controlled Information Maximization for SOM Knowledge Induced Learning

Controlled Information Maximization for SOM Knowledge Induced Learning 3 Int'l Conf. Atificial Intelligence ICAI'5 Contolled Infomation Maximization fo SOM Knowledge Induced Leaning Ryotao Kamimua IT Education Cente and Gaduate School of Science and Technology, Tokai Univeisity

More information

A modal estimation based multitype sensor placement method

A modal estimation based multitype sensor placement method A modal estimation based multitype senso placement method *Xue-Yang Pei 1), Ting-Hua Yi 2) and Hong-Nan Li 3) 1),)2),3) School of Civil Engineeing, Dalian Univesity of Technology, Dalian 116023, China;

More information

Segmentation of Casting Defects in X-Ray Images Based on Fractal Dimension

Segmentation of Casting Defects in X-Ray Images Based on Fractal Dimension 17th Wold Confeence on Nondestuctive Testing, 25-28 Oct 2008, Shanghai, China Segmentation of Casting Defects in X-Ray Images Based on Factal Dimension Jue WANG 1, Xiaoqin HOU 2, Yufang CAI 3 ICT Reseach

More information

Anisotropy Estimation and Image Remapping Using Model Based Moveout

Anisotropy Estimation and Image Remapping Using Model Based Moveout Aniotropy Etiation and Iae Reappin Uin Model Baed Moveout Z. Liu* (PGS), N.D. Whitore (PGS) & C. Zhou (PGS) SUMMARY Typically odel paraeter etiation i achieved throuh ultiple iteration of linearized tooraphy

More information

Visual Servoing from Spheres using a Spherical Projection Model

Visual Servoing from Spheres using a Spherical Projection Model Viual Sevoing fom Sphee uing a Spheical Pojection Model omeo Tatambon Fomena and Fançoi Chaumette Abtact In thi pape, we invetigate the ue of a pheical pojection model to each fo optimal viual featue fo

More information

Topic -3 Image Enhancement

Topic -3 Image Enhancement Topic -3 Image Enhancement (Pat 1) DIP: Details Digital Image Pocessing Digital Image Chaacteistics Spatial Spectal Gay-level Histogam DFT DCT Pe-Pocessing Enhancement Restoation Point Pocessing Masking

More information

Adaptation of Motion Capture Data of Human Arms to a Humanoid Robot Using Optimization

Adaptation of Motion Capture Data of Human Arms to a Humanoid Robot Using Optimization ICCAS25 June 2-5, KINTEX, Gyeonggi-Do, Koea Adaptation of Motion Captue Data of Human Ams to a Humanoid Robot Using Optimization ChangHwan Kim and Doik Kim Intelligent Robotics Reseach Cente, Koea Institute

More information

ANALYTIC PERFORMANCE MODELS FOR SINGLE CLASS AND MULTIPLE CLASS MULTITHREADED SOFTWARE SERVERS

ANALYTIC PERFORMANCE MODELS FOR SINGLE CLASS AND MULTIPLE CLASS MULTITHREADED SOFTWARE SERVERS ANALYTIC PERFORMANCE MODELS FOR SINGLE CLASS AND MULTIPLE CLASS MULTITHREADED SOFTWARE SERVERS Daniel A Menascé Mohamed N Bennani Dept of Compute Science Oacle, Inc Geoge Mason Univesity 1211 SW Fifth

More information

Enhanced subsurface illumination from separated wavefield imaging

Enhanced subsurface illumination from separated wavefield imaging firt break volume 32, November 2014 pecial topic Marine Seimic Enhanced uburface illumination from eparated wavefield imaging Shaoping Lu 1*, Dan Whitmore 1, Alejandro Valenciano 1 and Nizar Chemingui

More information

ScienceDirect. Energy Efficient Approach for Surveillance Applications Based on Self Organized Wireless Sensor Networks

ScienceDirect. Energy Efficient Approach for Surveillance Applications Based on Self Organized Wireless Sensor Networks Available online at www.ciencediect.com ScienceDiect Pocedia Compute Science 63 (2015 ) 165 170 The 6th Intenational Confeence on Emeging Ubiquitou Sytem and Pevaive Netwok (EUSPN-2015) Enegy Efficient

More information

A Novel Automatic White Balance Method For Digital Still Cameras

A Novel Automatic White Balance Method For Digital Still Cameras A Novel Automatic White Balance Method Fo Digital Still Cameas Ching-Chih Weng 1, Home Chen 1,2, and Chiou-Shann Fuh 3 Depatment of Electical Engineeing, 2 3 Gaduate Institute of Communication Engineeing

More information

ES205 Analysis and Design of Engineering Systems: Lab 1: An Introductory Tutorial: Getting Started with SIMULINK

ES205 Analysis and Design of Engineering Systems: Lab 1: An Introductory Tutorial: Getting Started with SIMULINK ES05 Analyi and Deign of Engineering Sytem: Lab : An Introductory Tutorial: Getting Started with SIMULINK What i SIMULINK? SIMULINK i a oftware package for modeling, imulating, and analyzing dynamic ytem.

More information

The Internet Ecosystem and Evolution

The Internet Ecosystem and Evolution The Intenet Ecosystem and Evolution Contents Netwok outing: basics distibuted/centalized, static/dynamic, linkstate/path-vecto inta-domain/inte-domain outing Mapping the sevice model to AS-AS paths valley-fee

More information

IMPLEMENTATION OF AREA, VOLUME AND LINE SOURCES

IMPLEMENTATION OF AREA, VOLUME AND LINE SOURCES December 01 ADMS 5 P503I1 IMPEMENTATION OF AREA, VOUME AND INE SOURCES The Met. Office (D J Thomon) and CERC 1. INTRODUCTION ADMS model line ource, and area and volume ource with conve polgon bae area.

More information

Satellite Image Analysis

Satellite Image Analysis Satellite Image Analysis Chistian Melsheime Apil 25, 2012 The lab on satellite image analysis deals with a vey typical application, the extaction of land use infomation. Stating point is an image ecoded

More information

m a g a Z i n e n e w s s i t e n e w s l e t t e r e t n d i r e c t w e l o v e e l e c t r o n i c s 2 4 / 7 / 3 6 5!

m a g a Z i n e n e w s s i t e n e w s l e t t e r e t n d i r e c t w e l o v e e l e c t r o n i c s 2 4 / 7 / 3 6 5! Media Kit 2016 m a g a Z i n e n e w i t e n e w l e t t e e t n d i e c t w e l o v e e l e c t o n i c 2 4 / 7 / 3 6 5! Sid 2 (7) Elektoniktidningen povide the Swedih electonic induty with qualified

More information

Gravitational Shift for Beginners

Gravitational Shift for Beginners Gavitational Shift fo Beginnes This pape, which I wote in 26, fomulates the equations fo gavitational shifts fom the elativistic famewok of special elativity. Fist I deive the fomulas fo the gavitational

More information

An Efficient Video Copy Detection Method Combining Vocabulary Tree and Inverted File

An Efficient Video Copy Detection Method Combining Vocabulary Tree and Inverted File An Eicient Video Copy Detection Method Combining Vocabulay Tee and Inveted File Xuan Li 1, Bing Li 2, Weiming Hu 2, Jineng Yang 1, 1 College o aviation automation, Civil Aviation Univeity o China, Tianjin,

More information

Introduction To Pipelining. Chapter Pipelining1 1

Introduction To Pipelining. Chapter Pipelining1 1 Intoduction To Pipelining Chapte 6.1 - Pipelining1 1 Mooe s Law Mooe s Law says that the numbe of pocessos on a chip doubles about evey 18 months. Given the data on the following two slides, is this tue?

More information

Color Correction Using 3D Multiview Geometry

Color Correction Using 3D Multiview Geometry Colo Coection Using 3D Multiview Geomety Dong-Won Shin and Yo-Sung Ho Gwangju Institute of Science and Technology (GIST) 13 Cheomdan-gwagio, Buk-ku, Gwangju 500-71, Republic of Koea ABSTRACT Recently,

More information

Main Menu. Summary. Introduction

Main Menu. Summary. Introduction Imain diffraction points usin the local imae matrix in prestack miration Xiaosan Zhu* 1,2, Ru-Shan Wu 1 1 Department of Earth & Planetary Sciences, University of California, Santa Cruz, CA 9564 2 Department

More information

Chapter 13 Non Sampling Errors

Chapter 13 Non Sampling Errors Chapter 13 Non Sampling Error It i a general aumption in the ampling theory that the true value of each unit in the population can be obtained and tabulated without any error. In practice, thi aumption

More information

Resolution and stability analysis of offset VSP acquisition scenarios with applications to fullwaveform

Resolution and stability analysis of offset VSP acquisition scenarios with applications to fullwaveform Resolution and stability analysis of offset VSP acquisition scenaios with applications to fullwavefom invesion I. Silvestov, IPGG SB RAS, D. Neklyudov, IPGG SB RAS, M. Puckett, Schlumbege, V. Tcheveda,

More information

Analyzing Hydra Historical Statistics Part 2

Analyzing Hydra Historical Statistics Part 2 Analyzing Hydra Hitorical Statitic Part Fabio Maimo Ottaviani EPV Technologie White paper 5 hnode HSM Hitorical Record The hnode i the hierarchical data torage management node and ha to perform all the

More information

Transmission Lines Modeling Based on Vector Fitting Algorithm and RLC Active/Passive Filter Design

Transmission Lines Modeling Based on Vector Fitting Algorithm and RLC Active/Passive Filter Design Tansmission Lines Modeling Based on Vecto Fitting Algoithm and RLC Active/Passive Filte Design Ahmed Qasim Tuki a,*, Nashien Fazilah Mailah b, Mohammad Lutfi Othman c, Ahmad H. Saby d Cente fo Advanced

More information

A Rule-Based Fuzzy Traversability Index for Mobile Robot Navigation

A Rule-Based Fuzzy Traversability Index for Mobile Robot Navigation A Rule-Baed Fuzzy Taveability Index fo Mobile Robot Naviation Ayanna Howad Homayoun Seaji Edwad Tuntel Jet Populion Laboatoy Califonia Intitute of Technoloy Paadena, CA 91109, USA Abtact Thi pape peent

More information

An Improved Resource Reservation Protocol

An Improved Resource Reservation Protocol Jounal of Compute Science 3 (8: 658-665, 2007 SSN 549-3636 2007 Science Publications An mpoved Resouce Resevation Potocol Desie Oulai, Steven Chambeland and Samuel Piee Depatment of Compute Engineeing

More information

Heterogeneous Isotropic BRDFs. Homogeneous BRDF. Spatially Varying BRDF. Approaches - Sampling. Approaches - Illumination

Heterogeneous Isotropic BRDFs. Homogeneous BRDF. Spatially Varying BRDF. Approaches - Sampling. Approaches - Illumination Couse 0 Realistic Mateials in Compute Gaphics Heteogeneous Isotopic s Henik P.A. Lensch Stanfo Univesity Homogeneous Spatially Vaying Appoaches - Sampling Appoaches - Illumination ense sampling fo each

More information

Keith Dalbey, PhD. Sandia National Labs, Dept 1441 Optimization & Uncertainty Quantification

Keith Dalbey, PhD. Sandia National Labs, Dept 1441 Optimization & Uncertainty Quantification SAND 0-50 C Effective & Efficient Handling of Ill - Conditioned Coelation atices in Kiging & adient Enhanced Kiging Emulatos hough Pivoted Cholesky Factoization Keith Dalbey, PhD Sandia National Labs,

More information

A Window Retrieval Algorithm for Spatial Databases Using Quadtrees

A Window Retrieval Algorithm for Spatial Databases Using Quadtrees A Window Retieval Algoithm fo Spatial Databae Uing Quadtee Walid G. Aef Matuhita Infomation Technology Laboatoy Panaonic Technologie, Inc. Reeach Way, Pinceton, NJ 00 Phone: 60-3-3, Fax: 60-- E-mail: aef@mitl.eeach.panaonic.com

More information

Extended Perspective Shadow Maps (XPSM) Vladislav Gusev, ,

Extended Perspective Shadow Maps (XPSM)   Vladislav Gusev, , Extended Pespective Shadow Maps (XPSM) http://xpsm.og Vladislav Gusev,.8.27, xmvlad@gmail.com Figue : XPSM esults (~4 objects in a scene, 536x536 shadow map). Intoduction Shadows ae one of the most impotant

More information

Generic Traverse. CS 362, Lecture 19. DFS and BFS. Today s Outline

Generic Traverse. CS 362, Lecture 19. DFS and BFS. Today s Outline Generic Travere CS 62, Lecture 9 Jared Saia Univerity of New Mexico Travere(){ put (nil,) in bag; while (the bag i not empty){ take ome edge (p,v) from the bag if (v i unmarked) mark v; parent(v) = p;

More information

Introduction to Medical Imaging. Cone-Beam CT. Introduction. Available cone-beam reconstruction methods: Our discussion:

Introduction to Medical Imaging. Cone-Beam CT. Introduction. Available cone-beam reconstruction methods: Our discussion: Intoduction Intoduction to Medical Imaging Cone-Beam CT Klaus Muelle Available cone-beam econstuction methods: exact appoximate Ou discussion: exact (now) appoximate (next) The Radon tansfom and its invese

More information