Published: Springer, 2007
Description:
1 online resource (xii, 494 pages) : illustrations.
Contents:
“…Algorithms -- 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 Object Recognition, 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?…”
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