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Energy Minimization Methods in Computer Vision and Pattern Recognition by Alan L. Yuille Paperback | Indigo Chapters - nuovo livro

2007, ISBN: 9783540741954

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2007, ISBN: 9783540741954

This 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… mais…

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Energy Minimization Methods in Computer Vision and Pattern Recognition: 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, ... (Lecture Notes in Computer Science, 4679)
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Energy Minimization Methods in Computer Vision and Pattern Recognition: 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, ... (Lecture Notes in Computer Science, 4679) - Livro de bolso

2007

ISBN: 9783540741954

Editor: Yuille, Alan L. Editor: Zhu, Song-Chun, Editor: Cremers, Daniel, Editor: Wang, Yongtian, Springer, Paperback, Auflage: 2007, 512 Seiten, Publiziert: 2007-08-15T00:00:01Z, Produktg… mais…

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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 - Livro de bolso

2007, ISBN: 354074195X

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Energy Minimization Methods in Computer Vision and Pattern Recognition: 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, . (Lecture Notes in Computer Science, 4679) - Livro de bolso

2007, ISBN: 354074195X

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Energy Minimization Methods in Computer Vision and Pattern Recognition: 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, ... (Lecture Notes in Computer Science, 4679)

This book constitutes the refereed proceedings of the 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2007, held in Ezhou, China in August 2007. The 22 revised full papers and 15 poster papers presented were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on algorithms, applications, image parsing, image processing, motion, shape, and three-dimensional processing.

Dados detalhados do livro - Energy Minimization Methods in Computer Vision and Pattern Recognition: 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, ... (Lecture Notes in Computer Science, 4679)


EAN (ISBN-13): 9783540741954
ISBN (ISBN-10): 354074195X
Livro de capa dura
Livro de bolso
Ano de publicação: 2007
Editor/Editora: Springer
494 Páginas
Peso: 0,765 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-10-25T06:49:26-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-02-09T09:41:51-03:00 (Sao Paulo)
Número ISBN/EAN: 9783540741954

Número ISBN - Ortografia alternativa:
3-540-74195-X, 978-3-540-74195-4
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: song, wang, cremer, zhu, chun, cremers, yuill
Título do livro: computer vision, august 6th, china, vision 2004, vision 2005, energy, pattern recognition, international conference computer science, international proceedings, international graphics


Dados da editora

Autor: Alan L. Yuille; Song-Chun Zhu; Daniel Cremers; Yongtian Wang
Título: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Energy Minimization Methods in Computer Vision and Pattern Recognition - 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings
Editora: Springer; Springer Berlin
500 Páginas
Ano de publicação: 2007-08-15
Berlin; Heidelberg; DE
Peso: 0,777 kg
Língua: Inglês
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XII, 500 p.

BC; Image Processing and Computer Vision; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; Informatik; Computer Vision; Gabor filter; algorithmic learning; algorithms; clustering; cognition; data mining; energy minimization; feature extraction; geometric computing; graph matching; image analysis; image classification; image processing; reflection; algorithm analysis and problem complexity; Pattern Recognition; Artificial Intelligence; Computer Graphics; Algorithm Analysis and Problem Complexity; Data Mining and Knowledge Discovery; Computer Vision; Automated Pattern Recognition; Artificial Intelligence; Computer Graphics; Algorithms; Data Mining and Knowledge Discovery; Mustererkennung; Künstliche Intelligenz; Grafikprogrammierung; Algorithmen und Datenstrukturen; Data Mining; Wissensbasierte Systeme, Expertensysteme; EA

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.

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