Computer vision, ECCV 2004 : 8th European Conference on Computer Vision, Prague, Czech Republic, May 11 14, 20
Author: European Conference on Computer Vision (8th : 2004 : Prague, Czech Republic), Pajdla, Tomáš, Matas, Jiří
Added by: sketch
Added Date: 2015-12-29
Language: eng
Subjects: Computer vision, Vision par ordinateur, Beeldverwerking, Computers, ECCV, ECCV, Computer vision
Publishers: Berlin ; New York : Springer
Collections: folkscanomy miscellaneous, folkscanomy, additional collections
ISBN Number: 3540219846, 9783540219842, 3540219838, 9783540219835, 354021982X, 9783540219828, 3540219811, 9783540219811
Pages Count: 600
PPI Count: 600
PDF Count: 1
Total Size: 720.12 MB
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Description
Author: Tomáš Pajdla, Jiří Matas
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-21982-8
DOI: 10.1007/b97871
Table of Contents:
- A Constrained Semi-supervised Learning Approach to Data Association
- Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length
- Decision Theoretic Modeling of Human Facial Displays
- Kernel Feature Selection with Side Data Using a Spectral Approach
- Tracking Articulated Motion Using a Mixture of Autoregressive Models
- Novel Skeletal Representation for Articulated Creatures
- An Accuracy Certified Augmented Reality System for Therapy Guidance
- 3D Human Body Tracking Using Deterministic Temporal Motion Models
- Robust Fitting by Adaptive-Scale Residual Consensus
- Causal Camera Motion Estimation by Condensation and Robust Statistics Distance Measures
- An Adaptive Window Approach for Image Smoothing and Structures Preserving
- Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
- Are Iterations and Curvature Useful for Tensor Voting?
- A Feature-Based Approach for Determining Dense Long Range Correspondences
- Combining Geometric- and View-Based Approaches for Articulated Pose Estimation
- Shape Matching and Recognition – Using Generative Models and Informative Features
- Generalized Histogram: Empirical Optimization of Low Dimensional Features for Image Matching
- Recognizing Objects in Range Data Using Regional Point Descriptors
- Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces
- Structure and Motion Problems for Multiple Rigidly Moving Cameras
Includes bibliographical references and index