LEADER 07128nam 22008295 450 001 9910483090303321 005 20251226195245.0 010 $a3-540-74198-4 024 7 $a10.1007/978-3-540-74198-5 035 $a(CKB)1000000000490543 035 $a(SSID)ssj0000317465 035 $a(PQKBManifestationID)11292421 035 $a(PQKBTitleCode)TC0000317465 035 $a(PQKBWorkID)10294267 035 $a(PQKB)11266791 035 $a(DE-He213)978-3-540-74198-5 035 $a(MiAaPQ)EBC3063176 035 $a(MiAaPQ)EBC6711204 035 $a(Au-PeEL)EBL6711204 035 $a(OCoLC)184933761 035 $a(PPN)123164281 035 $a(EXLCZ)991000000000490543 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEnergy Minimization Methods in Computer Vision and Pattern Recognition $e6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings /$fedited by Alan L. Yuille, Song-Chun Zhu, Daniel Cremers, Yongtian Wang 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (XII, 500 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v4679 300 $a"... the Sixth International Conference on Energy Minimization Methods on Computer Vision and Pattern Recognition (EMMCVPR 2007)"--Pref. 311 08$a3-540-74195-X 320 $aIncludes bibliographical references and index. 327 $aAlgorithms -- An Effective Multi-level Algorithm Based on Simulated Annealing for Bisecting Graph -- Szemerédi?s Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation -- Exact Solution of Permuted Submodular MinSum Problems -- Efficient Shape Matching Via Graph Cuts -- Simulating Classic Mosaics with Graph Cuts -- An Energy Minimisation Approach to Attributed Graph Regularisation -- Applications to Faces and Text -- A Pupil Localization Algorithm Based on Adaptive Gabor Filtering and Negative Radial Symmetry -- Decomposing Document Images by Heuristic Search -- CIDER: Corrected Inverse-Denoising Filter for Image Restoration -- Skew Detection Algorithm for Form Document Based on Elongate Feature -- Active Appearance Models Fitting with Occlusion -- Combining Left and Right Irises for Personal Authentication -- Image Parsing -- Bottom-Up Recognition and Parsing of the Human Body -- to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks -- An Automatic Portrait System Based on And-Or Graph Representation -- Object Category Recognition Using Generative Template Boosting -- Bayesian Inference for Layer Representation with Mixed Markov Random Field -- Image Processing -- Dichromatic Reflection Separation from a Single Image -- Noise Removal and Restoration Using Voting-Based Analysis and Image Segmentation Based on Statistical Models -- A Boosting Discriminative Model for Moving Cast Shadow Detection -- Motion Analysis -- An a Contrario Approach for Parameters Estimation of a Motion-Blurred Image -- Improved Object Tracking Using an Adaptive Colour Model -- Vehicle Tracking Based on Image Alignment in Aerial Videos -- Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher Sampling -- Compositional ObjectRecognition, Segmentation, and Tracking in Video -- Bayesian Order-Adaptive Clustering for Video Segmentation -- Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis -- Shape Analysis -- Discrete Skeleton Evolution -- Shape Classification Based on Skeleton Path Similarity -- Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves -- Shape Analysis of Open Curves in ?3 with Applications to Study of Fiber Tracts in DT-MRI Data -- Three-Dimensional Processing -- Energy-Based Reconstruction of 3D Curves for Quality Control -- 3D Computation of Gray Level Co-occurrence in Hyperspectral Image Cubes -- Continuous Global Optimization in Multiview 3D Reconstruction -- A New Bayesian Method for Range Image Segmentation -- Marked Point Process for Vascular Tree Extraction on Angiogram -- Surface Reconstruction from LiDAR Data with Extended Snake Theory. 330 $aThis volume contains the papers presented at the Sixth International Conference on Energy Minimization Methods on Computer Vision and Pattern Recognition (EMMCVPR 2007), held at the Lotus Hill Institute, Ezhou, Hubei, China, August 27?29, 2007. The motivation for this conference is the realization that many problems in computer vision and pattern recognition can be formulated in terms of probabilistic inference or optimization of energy functions. EMMCVPR 2007 addressed the critical issues of representation, learning, and inference. Important new themes include pr- abilistic grammars, image parsing, and the use of datasets with ground-truth to act as benchmarks for evaluating algorithms and as a way to train learning algorithms. Other themes include the development of efficient inference algorithms using advanced techniques from statistics, computer science, and applied mathematics. We received 140 submissions for this workshop. Each paper was reviewed by three committee members. Based on these reviews we selected 22 papers for oral presen- tion and 15 papers for poster presentation. This book makes no distinction between oral and poster papers. We have organized these papers in seven sections on al- rithms, applications, image parsing, image processing, motion, shape, and thr- dimensional processing. Finally, we thank those people who helped make this workshop happen. We - knowledge the Program Committee for their help in reviewing the papers. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v4679 606 $aComputer vision 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aComputer graphics 606 $aAlgorithms 606 $aData mining 606 $aComputer Vision 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 606 $aComputer Graphics 606 $aAlgorithms 606 $aData Mining and Knowledge Discovery 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 0$aAlgorithms. 615 0$aData mining. 615 14$aComputer Vision. 615 24$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 615 24$aAlgorithms. 615 24$aData Mining and Knowledge Discovery. 676 $a006.37 702 $aYuille$b A. L$g(Alan L.), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483090303321 996 $aEnergy Minimization Methods in Computer Vision and Pattern Recognition$9772370 997 $aUNINA