Computer Vision -- ECCV 2006
9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part IV
Published on 28. April 2006
Book
Paperback/Softback
XVIII, 622 pages
978-3-540-33838-3 (ISBN)
Description
These are the proceedings of the 9th European Conference on Computer Vision (ECCV 2006), the premium European conference on computer vision, held in Graz, Austria, in May 2006. Inresponsetoourconferencecall,wereceived811papers,thelargestnumber of submissions so far. Finally, 41 papers were selected for podium presentation and 151 for presentation in poster sessions (a 23. 67% acceptance rate). The double-blind reviewing process started by assigning each paper to one of the 22 area chairs, who then selected 3 reviewers for each paper. After the reviewswerereceived,theauthorswereo?eredthepossibilitytoprovidefeedback on the reviews. On the basis of the reviews and the rebuttal of the authors, the area chairs wrote the initial consolidation report for each paper. Finally, all the area chairs attended a two-day meeting in Graz, where all decisions on acceptance/rejectionweremade. At that meeting,the areachairsresponsiblefor similar sub-?elds thoroughly evaluated the assigned papers and discussed them in great depth. Again, all decisions were reached without the knowledge of the authors' identity.
We are fully aware of the fact that reviewing is always also subjective, and that somegood papers might havebeen overlooked;however,we tried our best to apply a fair selection process. The conference preparation went smoothly thanks to several people. We ?rst wish to thank the ECCV Steering Committee for entrusting us with the orga- zationoftheconference. Wearegratefultotheareachairs,whodidatremendous job in selecting the papers, and to more than 340 ProgramCommittee members and 220 additional reviewers for all their professional e?orts.
We are fully aware of the fact that reviewing is always also subjective, and that somegood papers might havebeen overlooked;however,we tried our best to apply a fair selection process. The conference preparation went smoothly thanks to several people. We ?rst wish to thank the ECCV Steering Committee for entrusting us with the orga- zationoftheconference. Wearegratefultotheareachairs,whodidatremendous job in selecting the papers, and to more than 340 ProgramCommittee members and 220 additional reviewers for all their professional e?orts.
More details
Series
Edition
2006 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XVIII, 622 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 34 mm
Weight
949 gr
ISBN-13
978-3-540-33838-3 (9783540338383)
DOI
10.1007/11744085
Schweitzer Classification
Content
Face Detection and Recognition.- Robust Multi-view Face Detection Using Error Correcting Output Codes.- Inter-modality Face Recognition.- Face Recognition from Video Using the Generic Shape-Illumination Manifold.- Illumination and Reflectance Modelling.- A Theory of Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency.- Covariant Derivatives and Vision.- Retexturing Single Views Using Texture and Shading.- Poster Session IV Tracking and Motion.- Feature Points Tracking: Robustness to Specular Highlights and Lighting Changes.- A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate.- Robust Visual Tracking for Multiple Targets.- Multivalued Default Logic for Identity Maintenance in Visual Surveillance.- A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint.- Multiview Geometry and 3D Methods.- Uncalibrated Factorization Using a Variable Symmetric Affine Camera.- Dense Photometric Stereo by Expectation Maximization.- Space-Time-Scale Registration of Dynamic Scene Reconstructions.- Self-calibration of a General Radially Symmetric Distortion Model.- A Simple Solution to the Six-Point Two-View Focal-Length Problem.- Iterative Extensions of the Sturm/Triggs Algorithm: Convergence and Nonconvergence.- Low-Level Vision, Image Features.- An Efficient Method for Tensor Voting Using Steerable Filters.- Interpolating Orientation Fields: An Axiomatic Approach.- Alias-Free Interpolation.- An Intensity Similarity Measure in Low-Light Conditions.- Direct Energy Minimization for Super-Resolution on Nonlinear Manifolds.- Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm.- Face/Gesture/Action Detection and Recognition.- Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion.- Face Authentication Using Adapted Local Binary Pattern Histograms.- An Integrated Model for Accurate Shape Alignment.- Robust Player Gesture Spotting and Recognition in Low-Resolution Sports Video.- Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost.- Segmenting Highly Articulated Video Objects with Weak-Prior Random Forests.- Segmentation and Grouping.- SpatialBoost: Adding Spatial Reasoning to AdaBoost.- Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data.- Density Estimation Using Mixtures of Mixtures of Gaussians.- Example Based Non-rigid Shape Detection.- Towards Safer, Faster Prenatal Genetic Tests: Novel Unsupervised, Automatic and Robust Methods of Segmentation of Nuclei and Probes.- Object Recognition, Retrieval and Indexing.- Fast Memory-Efficient Generalized Belief Propagation.- Adapted Vocabularies for Generic Visual Categorization.- Identification of Highly Similar 3D Objects Using Model Saliency.- Sampling Strategies for Bag-of-Features Image Classification.- Maximally Stable Local Description for Scale Selection.- Scene Classification Via pLSA.- Probabilistic Linear Discriminant Analysis.- A New 3-D Model Retrieval System Based on Aspect-Transition Descriptor.- Low-Level Vision, Segmentation and Grouping.- Unsupervised Patch-Based Image Regularization and Representation.- A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach.- Learning to Combine Bottom-Up and Top-Down Segmentation.- Multi-way Clustering Using Super-Symmetric Non-negative Tensor Factorization.