Computer Vision/Computer Graphics Collaboration Techniques: Third International Conference, Mirage 2007, Rocquencourt, France, March 28-30, 2007: Proceedings

Front Matter......Page 1
Introduction......Page 14
Related Works......Page 16
Proposed Algorithm......Page 17
Results......Page 20
References......Page 23
Introduction......Page 25
Materials and Methods......Page 26
Multispectral Analysis Using Neural Networks......Page 29
Results......Page 30
Discussion and Conclusions......Page 34
Introduction......Page 36
Quadratic MRF Hybrid Prior......Page 37
Joint Bayesian Estimation Strategy......Page 40
Simulated Emission Data......Page 42
Real Emission Data......Page 46
References......Page 47
Introduction......Page 49
Feature-Based Approaches......Page 50
Retrieval Evaluation......Page 51
Results for Individual Feature Vectors......Page 52
Prior Knowledge Weighted Combination......Page 53
Experiments......Page 54
Conclusion and Further Work......Page 57
Introduction......Page 60
Related Work......Page 61
Relightable Free-Viewpoint Video of Human Actors--Preliminaries......Page 62
Reconstructing Dynamic Human Shape and Motion......Page 63
Dynamic Reflectometry......Page 64
Spatio-temporal Reflectance Sharing......Page 65
Results......Page 67
Conclusions......Page 69
Introduction......Page 72
Point and Triangle Based Rendering......Page 73
LOD Selection......Page 74
Store Hierarchical Structure......Page 75
Pixel Size in Perspective Projection......Page 76
LOD Level Selection......Page 78
Experiment Data......Page 79
References......Page 81
Introduction......Page 83
Related Work......Page 84
Input Registers and Transformer......Page 85
Collision Detection Engine......Page 86
Update Engine......Page 87
Analysis of Ray-Triangle Intersection Algorithms......Page 88
Implementation......Page 90
Analysis and Limitations......Page 92
Conclusion......Page 93
Introduction......Page 95
Related Work......Page 96
ClusterTree* Algorithm......Page 97
Partitioning the Dimension......Page 98
Wavelet Transform of the Distributing Curves......Page 99
Identification of Clusters at Every Scale......Page 100
Clustering at Different Scale......Page 101
Retrieval Based on the ClusterTree*......Page 103
Conclusion......Page 104
References......Page 105
Introduction......Page 106
Modified PCA......Page 107
Adjacent Angle Distance Fourier Descriptor......Page 109
Tchebichef Descriptor......Page 110
D-Buffer Descriptor......Page 111
Retrieval Evaluation......Page 112
Effectiveness Comparison......Page 113
Conclusion and Further Work......Page 115
Introduction......Page 118
System Architecture......Page 119
Stroke’s Thickness......Page 120
Strokes Order Tracing......Page 121
Experiment Result......Page 127
References......Page 129
Introduction......Page 130
Generation of Particles......Page 131
Global Parameters......Page 132
Realistic, Three-Dimensional Clouds......Page 133
Other Atmospheric Phenomena......Page 134
Rendering Issues......Page 136
Conclusions and Results......Page 137
References......Page 139
Introduction......Page 141
Foundation and Advantages of Combined Status Along the Adaptive Principal Orientation Axes......Page 143
Computing the Principal Orientation Angle of the Corner......Page 144
Measure the Combined Status of Intensity Variations......Page 145
Status-Type Tables......Page 146
Computation Procedure of the Proposed Algorithm......Page 147
Experimental Results and Discussion......Page 148
Conclusions......Page 150
References......Page 151
Introduction......Page 152
Related Work......Page 153
Input Data......Page 154
Energy Minimization......Page 155
Multi-resolution for the Energy Minimization......Page 157
Collision Detection......Page 158
Results......Page 159
Conclusion and Future Work......Page 160
Introduction......Page 163
Arbitrary Shape Parametrization Using Fourier Descriptors......Page 165
Heel Strike Extraction......Page 166
Moving Joints Extraction......Page 167
Experimental Results......Page 170
Conclusions and Future Work......Page 172
Introduction......Page 174
Related Work......Page 175
Stabilizing Segmentation......Page 176
Segment Annexation and Layering......Page 177
Fast Mean-Shift Video Segmentation......Page 178
Foreground Data Reduction......Page 179
Sequential Mean-Shift Segmentation......Page 181
Experimental Result......Page 182
Conclusion and Future Work......Page 184
Introduction......Page 186
Virtual Model of the Construction of a Wall......Page 187
Definition of the Virtual Environment in the Evolution of a Construction......Page 188
Modelling the Elements of the Construction Scenario......Page 189
Programming the Virtual Construction Animation......Page 190
Learning Aspects......Page 191
References......Page 192
Introduction......Page 193
Previous Work......Page 194
Analysis of Input Data......Page 195
Virtual Agent Expressivity Parameters......Page 197
Expressivity Specification......Page 198
Copying of Expressive Behaviour......Page 199
Future Work......Page 200
Introduction......Page 205
The Definition of a Non-illumination Class and Illumination Classes......Page 206
The Reconstruction Between a Non-illumination Image and a Illumination Image......Page 207
Illumination Compensation Based on Reconstruction......Page 208
Experimental Result......Page 209
Conclusion and Discussion......Page 211
References......Page 212
Introduction......Page 213
Previous Work......Page 214
Algorithm......Page 215
Garment Templates......Page 216
Cloth Simulation......Page 217
Optimisation......Page 218
Segmentation......Page 219
Results......Page 220
Summary......Page 223
State of the Art......Page 225
Organization of the Paper......Page 226
Interactive Calibration / Reconstruction......Page 227
Problems......Page 230
Silhouette Contour Adaptation......Page 231
Automatic Extracting of the Silhouette Contours from the 3D Mesh......Page 232
Deformation of the Contour......Page 233
References......Page 236
Introduction......Page 238
Sparse NMF Modification and Initialisation......Page 239
Experimental Results......Page 242
Talking Head Data......Page 243
Emotion Head Data......Page 244
Motion Data......Page 245
Conclusions......Page 246
Introduction......Page 248
Clinical MRI and SPECT Data......Page 250
The Proposed MRI/SPECT Registration System......Page 251
The Validity of MRI Labeling Via Elastic Registration......Page 254
The Evaluation of the Hybrid Similarity Measure......Page 255
Conclusion......Page 257
References......Page 258
Introduction......Page 260
Previous Work......Page 261
The Swissranger ToF Camera......Page 262
Measuring Hand Geometry......Page 265
Results......Page 268
Conclusion......Page 271
Outlook......Page 272
Introduction......Page 274
Related Work......Page 275
Continuity and Differentiability......Page 276
Contour Matching......Page 277
Error Function......Page 278
Minimizing Algorithm......Page 279
Test Settings......Page 280
Synthetic Experiments......Page 281
Semi-synthetic Experiments......Page 282
Conclusions......Page 284
Introduction......Page 287
Wavelet-Based Multiresolution Analysis of Surface Meshes......Page 288
Second Generation Wavelets......Page 289
Predict......Page 290
Results......Page 292
Summary......Page 294
Introduction......Page 296
A Morphological Property......Page 298
Discretization and Reformulation......Page 299
An Inclusion Lemma......Page 300
Exact Optimization and Result......Page 302
Conclusion......Page 305
Introduction......Page 308
Dominant Plane Detection from Optical Flow......Page 309
Optical Flow and Homography......Page 310
Optical Flow on the Dominant Plane......Page 311
Dominant Plane Detection......Page 312
Iterative Plane Segmentation......Page 313
Experimental Results......Page 316
Conclusion......Page 318
Introduction......Page 320
The Proposed Method......Page 321
Human Eye and Cornea Sphere Model......Page 322
Camera Calibration......Page 323
Calculating Cornea Sphere Equation by Three Points on the Cornea Surface......Page 324
Compensating Angle Kappa......Page 325
Experimental Results......Page 326
References......Page 329
Introduction......Page 331
Facial Motion Capture......Page 332
Generation of Facial Expression Space......Page 334
Multidimensional Scaling(MDS)......Page 336
Verification......Page 338
Experiment Results......Page 340
Conclusion......Page 341
Introduction......Page 343
Local Surface Features......Page 344
Target Selection......Page 345
Dimensionality Reduction......Page 347
Experiments......Page 348
Effect of the Sampling Scheme and the Target Set Size......Page 349
Dimensionality Reduction......Page 351
Conclusion......Page 352
State of the Art......Page 354
Outdoor Color Theory......Page 355
Limitations......Page 357
Shadow Model......Page 358
Estimation of  Via Graph Cuts......Page 360
Experimental Results......Page 362
Conclusions......Page 364
Introduction......Page 366
B-Spline Model......Page 367
Observational Model......Page 368
Numerical Implementation......Page 370
Experimental Results......Page 372
Conclusion......Page 373
Computation of X......Page 374
Introduction and Overview......Page 378
Data Acquisition and Appearance Model Construction......Page 379
Creating Appearance Models with Action Specific Modes......Page 381
Mapping Performances Between Different Appearance Models......Page 383
Results......Page 385
Conclusions and Future Work......Page 388
Introduction......Page 390
Crowd Simulation......Page 391
Motion Estimation......Page 392
Crowd Motion Estimation and Representation......Page 394
Data-Driven Animation of Crowds......Page 395
Synthetic Example......Page 396
Real Data......Page 398
Conclusion......Page 399
References......Page 400
Introduction......Page 402
Temporal Wavelet Analysis and Synthesis......Page 404
Proposed Compression Method......Page 405
Compression Results......Page 406
Lossless Compression......Page 407
Progressive Compression......Page 409
Conclusions......Page 411
Introduction......Page 413
System Configuration and Data Flow......Page 414
Wilt Detection of Plants with Dense Leaves......Page 415
Finding of Target Region for Processing......Page 416
Detection of Plant Wilt......Page 417
Experimental Result......Page 418
Extraction of Leaves Region......Page 420
3-D Data Acquisition by Use of Stereo Vision......Page 421
Experimental Result......Page 422
Conclusion......Page 423
References......Page 424
Introduction......Page 425
Sequential Brightness and Chromaticity Background Model......Page 426
Pixel Object Likelihood......Page 427
Region Object Likelihood......Page 428
Adaptive Region Decision Function......Page 429
Experimental Results......Page 430
Conclusions......Page 432
Introduction......Page 434
Active Shape Model......Page 435
Adaptive Mean Shape......Page 437
Experimental Results......Page 438
Conclusions......Page 441
References......Page 442
Introduction......Page 443
Gabor Wavelet Based Feature Representation......Page 444
Face Recognition......Page 445
Optimal Weight Vector Generation for Each Environment......Page 446
Experimental Setups and Performance Evaluation......Page 448
Conclusion......Page 451
References......Page 452
Introduction......Page 453
Selecting the Discriminative DCT Coefficients......Page 454
Bone Age Assessment......Page 456
Experimental Results......Page 457
Conclusions......Page 459
References......Page 460
Introduction......Page 462
Reliability Map Generation......Page 464
Colors Estimation Using LLE......Page 467
Feature Vector and Weight Matrix......Page 468
Hierarchical Model......Page 470
Experimental Results......Page 471
Conclusion and Future Work......Page 472
Introduction......Page 474
Colatitude and Longitude of Points on a Unit Sphere......Page 475
Spherical Camera Model......Page 476
Epipolar Geometry for Spherical Camera......Page 477
Rectification for Spherical Images......Page 478
Initial Estimation......Page 479
Design of Experiments......Page 480
Evaluation w.r.t. Changes of Numbers of Correspondences......Page 481
Evaluation w.r.t. Changes of Region Shared by Two Cameras......Page 482
Discussions and Concluding Remarks......Page 483
Introduction......Page 485
Deformable Templates and Cellular Neural Networks......Page 486
A Description of the Algorithm......Page 487
Cost Map Derivation......Page 488
Experimental Evaluation of the Proposed Method......Page 490
Conclusion......Page 493
Introduction......Page 495
Analysis of Natural Scene and Color Components......Page 496
Selection of Color Features in Natural Images......Page 497
Fast Clustering Algorithm......Page 498
Experimental Results......Page 500
References......Page 504
Introduction......Page 507
Related Work......Page 508
Low-Level Features......Page 509
Gabor Filter......Page 510
Visual Appearance Modeling Using Adaptive Models......Page 512
Modeling the Visual Appearance of Humans......Page 514
Experiments......Page 515
Conclusions......Page 517
Introduction......Page 519
Gaussian Filtering......Page 520
Segmentation of the Laser Area of the Overhead Line......Page 521
Line Fitting for the Center Coordinates......Page 522
Compensation of the Height and Stagger......Page 523
Experimental Results......Page 524
Conclusions......Page 527
References......Page 528
Introduction......Page 529
Extract the Fingers......Page 530
Geometry Descriptor and Image Subtraction......Page 531
Results and Conclusion......Page 535
References......Page 536
Introduction......Page 538
3D E2D-HUM......Page 539
The 3D Guillemaud Filter......Page 540
The Volumetric Cutoff Frequency D0......Page 541
Experimental Setup......Page 543
Conclusions and Future Work......Page 544
The Problem in Color-Based Particle Filter......Page 547
Our Strategy......Page 548
Construction of Integral Histogram Image......Page 549
K-Means Clustering to Determine Bin Ranges......Page 550
Single Object Tracking......Page 551
Multiple Object Tracking......Page 552
Conclusions......Page 553
Introduction......Page 555
Subdivision Surfaces......Page 556
Quasi-interpolation......Page 557
The Algorithm......Page 558
Experiments......Page 559
Range Data......Page 560
Stereo Data......Page 564
Conclusion......Page 566
Introduction......Page 568
Related Works......Page 569
Features for Facial Expression Classification......Page 570
Detection of Feature Points and Obtaining the Feature Vector......Page 571
Facial Feature Point Detection......Page 572
Overview of K-NN Classifier......Page 575
Experimental Results......Page 576
References......Page 577
Introduction and Motivation......Page 580
Model......Page 583
Local Context Features......Page 584
Experimental Procedure......Page 585
Labelling Procedure......Page 586
Model Parameters and Learning Procedure......Page 588
Results......Page 589
Future Work......Page 590
Introduction......Page 592
General Layout of a Rainfalling Watershed Algorithm......Page 593
Description of the Line Segment Based Rainfalling Watershed Algorithm......Page 594
Results......Page 597
Conclusions......Page 598
Introduction......Page 600
Pattern Orientation Histogram......Page 601
 Patterns Orientation Detection......Page 602
Performance Evaluation Criterion......Page 605
Conclusions......Page 607
Introduction......Page 609
Overall Structure......Page 610
SQI (Self Quotient Image)......Page 611
SQF (Symmetry Object Filter)......Page 612
Eye Candidate Extraction......Page 614
Eye Verification......Page 615
Detection Rate Comparison......Page 616
Processing Time and Eye Detection Results......Page 617
References......Page 618
Introduction......Page 620
Formulation of Spatial Relationship......Page 622
Accuracy Improvement Based on Prediction......Page 623
Materials and Conditions......Page 624
Results......Page 625
Conclusion......Page 629
Back Matter......Page 631