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Produktbild: Energy Minimization Methods in Computer Vision and Pattern Recognition
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Energy Minimization Methods in Computer Vision and Pattern Recognition 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.08.2007

Herausgeber

Alan L. Yuille + weitere

Verlag

Springer Berlin

Seitenzahl

500

Maße (L/B/H)

23,8/15,4/3,2 cm

Gewicht

777 g

Auflage

2007

Sprache

Englisch

ISBN

978-3-540-74195-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.08.2007

Herausgeber

Verlag

Springer Berlin

Seitenzahl

500

Maße (L/B/H)

23,8/15,4/3,2 cm

Gewicht

777 g

Auflage

2007

Sprache

Englisch

ISBN

978-3-540-74195-4

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 6221 3454301
Fax: +49 30 8214091

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  • Produktbild: Energy Minimization Methods in Computer Vision and Pattern Recognition
  • 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 ?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.