Lecture overview. Visualisatie BMT. Visualization pipeline. Data representation. Discrete data. Sampling. Data Datasets Interpolation
|
|
- Kristin Watts
- 6 years ago
- Views:
Transcription
1 Viualiatie BMT Lectue oveview Data Dataet Intepolation Data epeentation Ajan Kok 2 Viualization pipeline Raw Data Data Enichment/Enhancement Deived Data Data epeentation Viualization data ha eveal popetie: It i dicete It ha ome tuctue It ha a topological dimenion Viualization data Viualization Mapping Abtact Viualization Object Rendeing Diplaable Image 3 4 Dicete data Sampling Data toed in a compute i alwa dicete Infomation i meaued o ampled in a finite numbe of point Data i intepolated between the point continuou data ampling dicete data = f() ( 0, 0 ), (, ), ( 2, 2 ),, ( 8, 8 ) 5 6
2 Data tuctue Data ample ae oganized into ome tuctue The tuctue decibe how the ample elate to each othe Data tuctue Stuctue: Sample cone in (, ) pai Ode of pai = ode of ampling on -ai ampling ode ( 0, 0 ), (, ), ( 2, 2 ),, ( 8, 8 ) 7 8 Data deign citeia What fom of fom hould we ue to epeent data? Data deign citeia Compact Gigabte to toe, minimize toage equiement Efficient Data mut be quickl acceible Mappable Data mut be eail conveted fom etenal data to intenal viualization data tuctue Data mut efficientl map to gaphic pimitive Minimal coveage Need a minimal et of data epeentation that can decibe all eal-wold data tpe Simple Ea to undetand Optimization 9 0 The dataet The dataet i the compute epeentation of viualization data A dataet conit of: Oganizing tuctue The wa data ample elate to each othe (geometical, connection) Attibute The data ample (value) themelve The dataet TOPOLOGY STRUCTURE GEOMETRY DATASET Geomet The coodinate of the ample (node) Topolog Stuctue defined on thee point (cell) Attibute Sampled data at eve node o cell ATTRIBUTES 2 2
3 Dataet eample Dataet: ( 0, 0 ), (, ), ( 2, 2 ),, ( 8, 8 ) Node: 0,, 2,, 8 Cell: 0-, -2, 2-3,, 7-8 Attibute: 0,, 2,, 8 (cala, given pe node) 3D dataet eample The node (geomet) of a 3D dataet epeenting a teapot cell 0- cell D dataet eample The dataet Topolog (cell) => connectivit between the node Rendeed image of teapot STRUCTURE DATASET ATTRIBUTES TOPOLOGY GEOMETRY CELLS NODES 5 6 Cell Linea cell tpe Fundamental building block of data et Defined b Tpe Connectivit lit (odeed lit of point) 7 8 3
4 Non-linea cell tpe Dataet dimenion Topological dimenion (ndim) Gid dimenion The numbe of independent vaiable The numbe of coodinate pecifing the dataet Geometical dimenion (npace) Node dimenion The numbe of coodinate pecifing poition of each node 9 Flat page (2D, 2-pace) Bent page (2D, 3-pace) 20 Dataet dimenion Tpe of dataet Tpe of dataet pecifie the elationhip between cell and point Dataet chaacteization Topolog egula o iegula Geomet egula o iegula 2 22 Dataet chaacteization Regula geomet Poition of the node in pace i egula Iegula geomet Poition of the node in pace i not egula Coodinate of all point mut be toed eplicitl Data et chaacteization Regula topolog Regula elationhip between the node Can be toed in n-dimenional aa Node info acceed uing indice Iegula topolog No egula elationhip between the node All connectivit mut be toed eplicitl Fo comple geometie and adaptive gid
5 Tpe of dataet Stuctued point (image data) Rectilinea gid Stuctued gid Untuctued point Untuctued gid Polgonal data Stuctued point Regula geomet Regula topolog N-dimenional aa of node (-, -, z-ai aligned) Line (D), piel (2D) o voel (3D) cell tpe Defined b Topological dimenion Poition of node 0 Size of cell (ditance between node) Stuctued point Stuctued point DATASET STRUCTURED_POINTS DIMENSIONS 6 5 ORIGIN SPACING 0 Given Stuctued point gid dataet Dimenion (n, n, n z ) Spacing (,, z ) Oigin (o, o, o z ) 0 0 Quetion What i numbe of cell? What i poition of point (i, j, k)? What i id of node (i, j, k)? Rectilinea gid Rectilinea gid Regula topolog Patial egula geomet N-dimenional aa of node (-, -, z-ai aligned) Line (D), piel (2D) o voel (3D) cell tpe Defined b Topological dimenion Fo each dimenion an odeed lit with coodinate DATASET RECTILINEAR_GRID DIMENSIONS 6 5 X_XOORDINATES 6 float Y_XOORDINATES 5 float Z_COORDINATES float
6 Stuctued gid Stuctued gid eample Iegula geomet Regula topolog N-dimenional aa of node Line (D), quadilateal (2D) o heahedon (3D) cell tpe Defined b Topological dimenion Odeed lit with coodinate fo each node DATASET STRUCTURED_GRID DIMENSIONS 3 5 POINTS 5 float Untuctued point Iegula geomet No topolog Vete and polvete cell tpe Defined b Lit with coodinate fo each node Untuctued gid The mot geneal and fleible epeentation The mot memo conuming and comple implementation Iegula geomet Iegula topolog An cell tpe Defined b Lit with coodinate fo each node Fo each cell: tpe and odeed lit of node Untuctued gid eample Untuctued gid eample DATASET UNSTRUCTURED_GRID POINTS 9 float CELLS CELL_TYPES
7 Polgonal data Polgonal data eample Define geometic pimitive Iegula geomet Iegula topolog Vetice, polvetice, line, polline, polgon, tiangle tip cell tpe Defined b Odeed lit with coodinate fo each node Fo each cell: tpe and odeed lit of node DATASET POLYDATA POINTS 5 float LINES POLYGONS The dataet The dataet DATASET DATASET STRUCTURE ATTRIBUTES STRUCTURE ATTRIBUTES TOPOLOGY GEOMETRY TOPOLOGY GEOMETRY CELLS NODES CELLS NODES CELL DATA NODE DATA Node and cell data cell cell data value = 20 value = -0 value = 9 node data node value = -7 Data value can be povided fo each node in the data et, o fo each cell, o fo both Attibute data i optional Attibute data Attibute indicate the tpe of data ampled Scala ingle value Vecto tiplet of value (u,v,w) Nomal tiplet of value, nomalized Colo tiplet of value Teno (33) mati A dataet can contain eveal attibute et All node in a dataet have the ame attibute et All cell in a dataet have the ame attibute et
8 Attibute data eample Intepolation POINT_DATA 5 COLOR SCALARS node_colo CELL DATA 2 SCALARS cell_value float VECTORS cell_vecto float Intepolation Intepolation Compute deal with dicete data Data i eithe upplied: At a finite numbe of point B ampling continuou data at a finite numbe of point We need infomation at poition othe than thee dicete point location => intepolation function 45 We aume Data i defined at cell point (P i ) Unknown point P i inide the cell We need Data value at each cell point P Paametic coodinate of point P within the cell Cell tpe including intepolation function We compute Real coodinate of point P Attibute value at point P 46 Intepolation Intepolation D Intepolation i a linea combination of data value at the cell node d = n i= 0 W i d i d - data value at the deied cell location d i - data value at the i-th cell node W i - weight function fo the i-th cell node W i (p j ) = if i==j 0 othewie n W (p) i = in an point p in the cell i= d = n i= 0 W i d i d 0 d() = ( )d o + d - 0 d W 0 = ( ) W =
9 Intepolation Line intepolation Each cell tpe ha it own intepolation function Weight W i ae function of paametic coodinate, and t Compoite cell ue intepolation of compoing cell = 0 = Ue one paametic coodinate () W 0 = ( ) W = Piel intepolation Quadilateal intepolation = Two paametic coodinate (, ) = Two paametic coodinate (, ) = 0 = 0 = W 0 = ( ) ( ) W = ( ) W 2 = ( ) W 3 = = 0 = 0 = W 0 = ( ) ( ) W = ( ) W 2 = W 3 = ( ) 5 52 Tiangle intepolation Polgon intepolation = 0 + = p = 0 Two paametic coodinate (,) W 0 = ( ) W = W 2 = p 4 p 5 d 3 Two paametic coodinate (, ) Paameteization ectangle encloe polgon Weight baed on ditance to each polgon vete di Wi = n i= 0 di d = p i i
10 Tetahedon intepolation Heahedon intepolation t Thee paametic coodinate (,, t) W 0 = ( t) W = W 2 = W 3 = t p 4 t p 7 p6 p 5 Thee paametic coodinate (,,t) W 0 = ( ) ( ) ( t) W = ( ) ( t) W 2 = ( t) W 3 = ( ) ( t) W 4 = ( ) ( ) t W 5 = ( ) t W 6 = t W 7 = ( ) t Voel intepolation Heahedon intepolation t p 6 p 7 Thee paametic coodinate (,,t) t p 7 Thee paametic coodinate (,,t) p 4 p6 p 4 p 5 W 0 = ( ) ( ) ( t) W = ( ) ( t) W 2 = ( ) ( t) W 3 = ( t) W 4 = ( ) ( ) t W 5 = ( ) t W 6 = ( ) t W 7 = t p 5 W 0 = ( ) ( ) ( t) W = ( ) ( t) W 2 = ( t) W 3 = ( ) ( t) W 4 = ( ) ( ) t W 5 = ( ) t W 6 = t W 7 = ( ) t Viualization pipeline Raw Data Data Enichment/Enhancement Deived Data Viualization Mapping Abtact Viualization Object Rendeing Diplaable Image 59 0
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 informationCS 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 informationProf. 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 informationImage Acquisition and Camera Model
Depatment o Compute Engineeing Univeit o Calionia at Santa Cuz Image Acquiition and Camea Model Hai ao /9/3 /4/3 Human viual tem Depatment o Compute Engineeing Univeit o Calionia at Santa Cuz he main component
More informationComputer 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 informationCS 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 information5. Geometric Transformations and Projections
5. Geometic Tansfomations and ojections 5. Tanslations and Rotations a) Tanslation d d d d d d d d b) Scaling s s s s c) Reflection (about - - lane) d) Rotation about Ais ( ) ( ) CCW 5.. Homogeneous Repesentation
More informationGoal. Rendering Complex Scenes on Mobile Terminals or on the web. Rendering on Mobile Terminals. Rendering on Mobile Terminals. Walking through images
Goal Walking though s -------------------------------------------- Kadi Bouatouch IRISA Univesité de Rennes I, Fance Rendeing Comple Scenes on Mobile Teminals o on the web Rendeing on Mobile Teminals Rendeing
More information2D Transformations. Why Transformations. Translation 4/17/2009
4/7/9 D Tansfomations Wh Tansfomations Coodinate sstem tansfomations Placing objects in the wold Move/animate the camea fo navigation Dawing hieachical chaactes Animation Tanslation + d 5,4 + d,3 d 4,
More informationHaptic Simulation of a Tool In Contact With a Nonlinear Deformable Body
In IS4TM: Intenational Symposium on Sugey Simulation and Soft Tissue Modelling Lectue Notes in Compute Science (LNCS 2673), N. Ayache and H. Delingette (Eds), Spinge Velag, New Yok. 2003. pp. 311-320.
More informationP284 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 informationShape Matching / Object Recognition
Image Pocessing - Lesson 4 Poduction Line object classification Object Recognition Shape Repesentation Coelation Methods Nomalized Coelation Local Methods Featue Matching Coespondence Poblem Alignment
More informationLecture 3: Rendering Equation
Lectue 3: Rendeing Equation CS 660, Sping 009 Kavita Bala Compute Science Conell Univesity Radiomety Radiomety: measuement of light enegy Defines elation between Powe Enegy Radiance Radiosity 1 Hemispheical
More informationComputer Graphics and Animation 3-Viewing
Compute Gaphics and Animation 3-Viewing Pof. D. Chales A. Wüthich, Fakultät Medien, Medieninfomatik Bauhaus-Univesität Weima caw AT medien.uni-weima.de Ma 5 Chales A. Wüthich Viewing Hee: Viewing in 3D
More information10/29/2010. 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 informationLayered Animation using Displacement Maps
Layeed Animation using Displacement Maps Raymond Smith, Wei Sun, Adian Hilton and John Illingwoth Cente fo Vision, Speech and Signal Pocessing Univesity of Suey, Guildfod GU25XH, UK a.hilton@suey.ac.uk
More information4.2. Co-terminal and Related Angles. Investigate
.2 Co-teminal and Related Angles Tigonometic atios can be used to model quantities such as
More informationPositioning 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 informationElliptic Generation Systems
4 Elliptic Geneation Systems Stefan P. Spekeijse 4.1 Intoduction 4.1 Intoduction 4.2 Two-Dimensional Gid Geneation Hamonic Maps, Gid Contol Maps, and Poisson Systems Discetization and Solution Method Constuction
More informationRANDOM IRREGULAR BLOCK-HIERARCHICAL NETWORKS: ALGORITHMS FOR COMPUTATION OF MAIN PROPERTIES
RANDOM IRREGULAR BLOCK-HIERARCHICAL NETWORKS: ALGORITHMS FOR COMPUTATION OF MAIN PROPERTIES Svetlana Avetisyan Mikayel Samvelyan* Matun Kaapetyan Yeevan State Univesity Abstact In this pape, the class
More informationsf3 RESTRICTED QUADTREE (VON HERZEN/BARR)
SURFACE DATA HIERARCHICAL TRIANGULAR DECOMPOSITION Appoximate suface S y plana tiangula patches whose vetices ae a suset of data points defining S Fo each patch, compute an appoximation eo. maximum eo
More informationCS-184: Computer Graphics. Today. Lecture #5: 3D Transformations and Rotations. Transformations in 3D Rotations
CS-184: Compute Gaphics Lectue #5: 3D Tansfomations and Rotations Pof. James O Bien Univesity of Califonia, Bekeley V2009-F-05-1.0 Today Tansfomations in 3D Rotations Matices Eule angles Eponential maps
More informationIMPLEMENTATION 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 informationK-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 informationOutput Primitives. Ellipse Drawing
Output Pimitives Ellipse Dawing Ellipses. An ellipses is an elongated cicle and can be dawn with modified cicle dawing algoithm.. An ellipse has set of fied points (foci) that will have a constant total
More information(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 informationA 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 informationA 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 informationComputer Graphics. - Shading - Hendrik Lensch. Computer Graphics WS07/08 Light Transport
Compute Gaphics - Shading - Hendik Lensch Compute Gaphics WS07/08 Light Tanspot Oveview So fa Nuts and bolts of ay tacing Today Reflectance Reflection models Compute Gaphics WS07/08 Light Tanspot Mateial
More informationPhysical 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 informationComputer Graphics. Transformation
(SBE 36) Dr. Aman Eldeib Spring 2 SBE 36 i a fundamental corner tone of computer graphic and i a central to OpenGL a well a mot other graphic tem.(2d and 3D ) Given an object, tranformation i to change
More informationExtensive games with imperfect information
Extensive games with impefect infomation ECON500 Advanced micoeconomics ectues in game theoy Fall 0, Pat 3 7.07.0 G.. Asheim, ECON500-3 Incomplete Complete infomation infomation Pefect infomation Impefect
More informationCS 450: COMPUTER GRAPHICS RASTERIZING CONICS SPRING 2016 DR. MICHAEL J. REALE
CS 45: COMPUTER GRAPHICS RASTERIZING CONICS SPRING 6 DR. MICHAEL J. REALE RASTERIZING CURVES OTHER THAN LINES When dealing with othe inds of cuves, we can daw it in one of the following was: Use elicit
More informationA 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 informationConcomitants 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 informationResearch Article. Regularization Rotational motion image Blur Restoration
Available online www.jocp.com Jounal of Chemical and Phamaceutical Reseach, 6, 8(6):47-476 Reseach Aticle ISSN : 975-7384 CODEN(USA) : JCPRC5 Regulaization Rotational motion image Blu Restoation Zhen Chen
More informationART GALLERIES WITH INTERIOR WALLS. March 1998
ART GALLERIES WITH INTERIOR WALLS Andé Kündgen Mach 1998 Abstact. Conside an at galley fomed by a polygon on n vetices with m pais of vetices joined by inteio diagonals, the inteio walls. Each inteio wall
More informationIEEE 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 information17/5/2009. 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 informationTufts University Math 13 Department of Mathematics November 14, :00 noon to 1:20 pm
Tufts Univesit Math 3 Depatment of Mathematics Novembe, Eam : noon to : pm Instuctions: No calculatos, notes o books ae allowed. Unless othewise stated, ou must show all wok to eceive full cedit. Simplif
More informationA General Characterization of Representing and Determining Fuzzy Spatial Relations
7 The Intenational Aab Jounal of Infomation Technolog A Geneal Chaacteization of Repesenting and Detemining Fuzz Spatial Relations Lui Bai and Li Yan 2 College of Infomation Science and Engineeing, Notheasten
More informationColor 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 informationCache Memory and Performance
Cache Memo and Pefomance Code and Caches 1 Man of the following slides ae taken with pemission fom Complete Powepoint Lectue Notes fo Compute Sstems: A Pogamme's Pespective (CS:APP) Randal E. Bant and
More informationPackage vitality. R topics documented: May 13, 2018
Package vitality May 13, 2018 Title Fitting Routine fo the Vitality Family of Motality Model Veion 1.3 Date 2018-05-13 Autho Gego Paolt, Jame J. Andeon, Ting Li, David H. Salinge, David J. Shaow Maintaine
More informationSegmentation 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 informationLecture overview. Visualisatie BMT. Fundamental algorithms. Visualization pipeline. Structural classification - 1. Structural classification - 2
Visualisatie BMT Fundamental algorithms Arjan Kok a.j.f.kok@tue.nl Lecture overview Classification of algorithms Scalar algorithms Vector algorithms Tensor algorithms Modeling algorithms 1 2 Visualization
More informationImproved 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 informationA Shape-preserving Affine Takagi-Sugeno Model Based on a Piecewise Constant Nonuniform Fuzzification Transform
A Shape-peseving Affine Takagi-Sugeno Model Based on a Piecewise Constant Nonunifom Fuzzification Tansfom Felipe Fenández, Julio Gutiéez, Juan Calos Cespo and Gacián Tiviño Dep. Tecnología Fotónica, Facultad
More informationRepresenting 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 informationSecond Order Edge-preserving Regularized Functional for Recovering Discontinuous Phase Maps in Fringe Patterns with Carrier
Second Ode Edge-peeving Regulaized Functional fo Recoveing Dicontinuou Phae Map in Finge Patten with Caie Calo A. Galvan a and Maiano Rivea b a Cento Nacional de Metologia, Apdo. Potal 1-1 Cento, Queetao,
More informationHaptic Glove. Chan-Su Lee. Abstract. This is a final report for the DIMACS grant of student-initiated project. I implemented Boundary
Physically Accuate Haptic Rendeing of Elastic Object fo a Haptic Glove Chan-Su Lee Abstact This is a final epot fo the DIMACS gant of student-initiated poject. I implemented Bounday Element Method(BEM)
More informationLecture 27: Voronoi Diagrams
We say that two points u, v Y ae in the same connected component of Y if thee is a path in R N fom u to v such that all the points along the path ae in the set Y. (Thee ae two connected components in the
More informationFACE VECTORS OF FLAG COMPLEXES
FACE VECTORS OF FLAG COMPLEXES ANDY FROHMADER Abstact. A conjectue of Kalai and Eckhoff that the face vecto of an abitay flag complex is also the face vecto of some paticula balanced complex is veified.
More informationThe 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 informationApplications. 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 informationImprovement of First-order Takagi-Sugeno Models Using Local Uniform B-splines 1
Impovement of Fist-ode Takagi-Sugeno Models Using Local Unifom B-splines Felipe Fenández, Julio Gutiéez, Gacián Tiviño and Juan Calos Cespo Dep. Tecnología Fotónica, Facultad de Infomática Univesidad Politécnica
More informationMonte 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 informationm 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 informationEnvironment Mapping. Overview
Envionment Mapping 1 Oveview Intoduction Envionment map constuction sphee mapping Envionment mapping applications distant geomety eflections 2 1 Oveview Intoduction Envionment map constuction sphee mapping
More informationDevelopment of MITC isotropic triangular shell finite elements
Compute and Stuctue 8 (4) 945 96 www.elevie.com/locate/compuc Development of MITC iotopic tiangula hell finite element Phill-Seung Lee, Klau-J ugen Bathe * Maachuett Initute of Technology, Cambidge, MA
More informationA 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 informationTESSELLATIONS. This is a sample (draft) chapter from: MATHEMATICAL OUTPOURINGS. Newsletters and Musings from the St. Mark s Institute of Mathematics
TESSELLATIONS This is a sample (daft) chapte fom: MATHEMATICAL OUTPOURINGS Newslettes and Musings fom the St. Mak s Institute of Mathematics James Tanton www.jamestanton.com This mateial was and can still
More informationA Description Method of Spatial Complexity in Terms of Visibility
IPR IPT IGU UCI CIG ACG Table of contents Table des matièes Authos inde Inde des auteus each Recheches Eit oti A Desciption Method of patial Compleit in Tems of Visibilit Hiotaka uzuki Assistant Pofesso,
More informationMassachusetts Institute of Technology Department of Mechanical Engineering
cm cm Poblem Massachusetts Institute of echnolog Depatment of Mechanical Engineeing. Intoduction to obotics Sample Poblems and Solutions fo the Mid-em Exam Figue shows a obotic vehicle having two poweed
More informationn If S is in convex position, then thee ae exactly k convex k-gons detemined by subsets of S. In geneal, howeve, S may detemine fa fewe convex k-gons.
Counting Convex Polygons in Plana Point Sets Joseph S. B. Mitchell a;1, Günte Rote b, Gopalakishnan Sundaam c, and Gehad Woeginge b a Applied Mathematics and Statistics, SUNY Stony Book, NY 11794-3600.
More informationAnnales UMCS Informatica AI 2 (2004) UMCS
Pobane z czasopisma Annales AI- Infomatica http://ai.annales.umcs.pl Annales Infomatica AI 2 (2004) 33-340 Annales Infomatica Lublin-Polonia Sectio AI http://www.annales.umcs.lublin.pl/ Embedding as a
More informationAugmented Reality. Integrating Computer Graphics with Computer Vision Mihran Tuceryan. August 16, 1998 ICPR 98 1
Augmented Reality Integating Compute Gaphics with Compute Vision Mihan Tuceyan August 6, 998 ICPR 98 Definition XCombines eal and vitual wolds and objects XIt is inteactive and eal-time XThe inteaction
More informationINDEXATION OF WEB PAGES BASED ON THEIR VISUAL RENDERING
INDEXATION OF WEB PAGES BASED ON THEIR VISUAL RENDERING Emmanuel Buno Univesité du Sud Toulon-Va / LSIS CNRS BP 20132, F-83957 La Gade buno@univ-tln.f Nicolas Faessel LSIS CNRS Domaine Univesitaie de Saint-Jéôme
More informationCSE 165: 3D User Interaction
CSE 165: 3D Use Inteaction Lectue #6: Selection Instucto: Jugen Schulze, Ph.D. 2 Announcements Homewok Assignment #2 Due Fiday, Januay 23 d at 1:00pm 3 4 Selection and Manipulation 5 Why ae Selection and
More informationBoundary 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 informationDerivation of the Nodal Forces Equivalent to Uniform Pressure for Quadratic Isoparametric Elements RAWB, Last Update: 30 September 2008
Deivation of the odal oces Equivalent to Unifom Pessue fo Quadatic sopaametic Elements RWB, Last Update: 0 Septembe 008 The displacement vecto u at an point within a single element, E, is lineal elated
More informationRepresentations and Transformations. Objectives
Repreentation and Tranformation Objective Derive homogeneou coordinate tranformation matrice Introduce tandard tranformation - Rotation - Tranlation - Scaling - Shear Scalar, Point, Vector Three baic element
More informationPoint-Biserial Correlation Analysis of Fuzzy Attributes
Appl Math Inf Sci 6 No S pp 439S-444S (0 Applied Mathematics & Infomation Sciences An Intenational Jounal @ 0 NSP Natual Sciences Publishing o Point-iseial oelation Analysis of Fuzzy Attibutes Hao-En hueh
More informationTopic -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 informationColor Interpolation for Single CCD Color Camera
Colo Intepolation fo Single CCD Colo Camea Yi-Ming Wu, Chiou-Shann Fuh, and Jui-Pin Hsu Depatment of Compute Science and Infomation Engineeing, National Taian Univesit, Taipei, Taian Email: 88036@csie.ntu.edu.t;
More informationA 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 information3 Data Representation. Data Representation. Department of Computer Science and Engineering 3-1
Data Representation 3-1 Overview This chapter will introduce you to data representations used for Scientific Visualization. We will discuss different grid structures and ways to represent data using these
More informationLecture 5: Rendering Equation Chapter 2 in Advanced GI
Lectue 5: Rendeing Equation Chapte in Advanced GI Fall 004 Kavita Bala Compute Science Conell Univesity Radiomety Radiomety: measuement of light enegy Defines elation between Powe Enegy Radiance Radiosity
More informationAn 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 informationDetection 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 informationSOCIAL COMPUTING: AN INTELLIGENT AND RESPONSIVE SYSTEM
SOCIAL COMPUTING: AN INTELLIGENT AND RESPONSIVE SYSTEM Dev Rishi Tekiwal, Undegaduate Student Akapava De, Undegaduate Student Ezhilmaan D, Assistant Pofesso School of Computing Science and Engineeing,
More informationISyE 4256 Industrial Robotic Applications
ISyE 456 Industial Robotic Applications Quiz # Oct. 9, 998 Name This is a closed book, closed notes exam. Show wok fo poblem questions ) ( pts) Please cicle one choice fo each item. a) In an application,
More informationMono Vision Based Construction of Elevation Maps in Indoor Environments
8th WSEAS Intenational onfeence on SIGNAL PROESSING, OMPUTATIONAL GEOMETRY and ARTIFIIAL VISION (ISGAV 08) Rhodes, Geece, August 0-, 008 Mono Vision Based onstuction of Elevation Maps in Indoo Envionments
More informationA NEW GROUND-BASED STEREO PANORAMIC SCANNING SYSTEM
A NEW GROUND-BASED STEREO PANORAMIC SCANNING SYSTEM R. Li*, L. Yan, K. Di, B. Wu Mapping and GIS Laboatoy, Dept. of Civil and Env. Eng. and Geodetic Science, The Ohio State Univesity 47 Hitchcock, 27 Neil
More informationPOMDP: 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 informationExtended 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 informationN-Body Simulation. Uwe Ehmann, Hanna Ketterle
N-Body Simulation Uwe Ehmann, Hanna Kettele 26.03.2015 Agenda 1. Backgound 2. CUDA Implementation 3. CUDA/OpenGL Inteopeability 4. OpenGL 5. Gavity vs. MD simulation 6. Test Scenaios Backgound What is
More informationAnalysis of uniform illumination system with imperfect Lambertian LEDs
Optica Applicata, Vol. XLI, No. 3, 2011 Analysis of unifom illumination system with impefect Lambetian LEDs JIAJIE TAN 1, 2, KECHENG YANG 1*, MIN XIA 1, YING YANG 1 1 Wuhan National Laboatoy fo Optoelectonics,
More informationRegular Expressions - a Graphical User Interface
Regula Expeion - a Gaphical Ue Inteface Stefan Kah Univeity of Kent at Cantebuy Computing Laboatoy email: mk@ukc.ac.uk Septembe 13, 1999 Abtact Regula expeion ae a tandad tool fo language deciption, in
More informationImage Enhancement in the Spatial Domain. Spatial Domain
8-- Spatial Domain Image Enhancement in the Spatial Domain What is spatial domain The space whee all pixels fom an image In spatial domain we can epesent an image by f( whee x and y ae coodinates along
More informationUniversity of Hertfordshire Department of Mathematics. Some comments on the approximation of the radial basis functions in the dual reciprocity method
Univesit o Hetodshie Depatment o Mathematics Some comments on the appoimation o the adial basis unctions in the dual ecipocit method Wattana Toutip Technical Repot 4 August 999 Peace The dual ecipocit
More information3D VISUALIZATION OF A CASE-BASED DISTANCE MODEL
8 D VISUALIZATION OF A CASE-BASED DISTANCE MODEL Péte Volf Zoltán Kovács István Szalkai Univesity of Pannonia Veszpém Hungay Email: volfpete@gtk.uni-pannon.hu kovacsz@gtk.uni-pannon.hu szalkai@almos.uni-pannon.hu
More informationDirectional Stiffness of Electronic Component Lead
Diectional Stiffness of Electonic Component Lead Chang H. Kim Califonia State Univesit, Long Beach Depatment of Mechanical and Aeospace Engineeing 150 Bellflowe Boulevad Long Beach, CA 90840-830, USA Abstact
More informationChinese 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 informationIllumination methods for optical wear detection
Illumination methods fo optical wea detection 1 J. Zhang, 2 P.P.L.Regtien 1 VIMEC Applied Vision Technology, Coy 43, 5653 LC Eindhoven, The Nethelands Email: jianbo.zhang@gmail.com 2 Faculty Electical
More informationControlled Blending of Procedural Implicit Surfaces
236 Contolled Blending of Pocedual Implicit Sufaces Zoan KaCic-Alesic Bian Wyvill Depatment of Compute Science Univesity of Calgay Calgay, Albeta, Canada T2N IN4 Abstact Implicit sufaces ae becoming inceasingly
More informationThe International Conference in Knowledge Management (CIKM'94), Gaithersburg, MD, November 1994.
The Intenational Confeence in Knowledge Management (CIKM'94), Gaithesbug, MD, Novembe 994. Hashing by Poximity to Pocess Duplicates in Spatial Databases Walid G. Aef Matsushita Infomation Technology Laboatoy
More informationCurl, Divergence, and Gradient in Cylindrical and Spherical Coordinate Systems
APPENDIX B Cul, Divegence, and Gadient in Cylindical and Spheical Coodinate Systems In Sections 3., 3.4, and 6., we intoduced the cul, divegence, and gadient, espectively, and deived the expessions o them
More informationMIS to Prepress ICS. Version Date: File: ICS-MIS-Prepress-1.01.doc,.pdf. Origination & Prepress WG
MIS to Pepess ICS Vesion 1.01 Date: 2006-01-02 File: ICS-MIS-Pepess-1.01.doc,.pdf Oigination & Pepess WG Abstact This ICS defines the Inteface between the MIS and Pepess. It specifies the Pocesses fo a
More informationSCR R&D and control development combining GT-SUITE and TNO models. GTI user-conference
SCR R&D and contol development combining G-SUIE and NO models GI use-confeence Contents Intoduction: Bidging the gap fom R&D to ECU implementation Contol development at NO Implementation of NO models in
More information