Computer Vision - ECCV 2008

1. Front Matter

   PDF

2. Segmentation

   1. Image Segmentation in the Presence of Shadows and Highlights

      • Eduard Vazquez, Joost van de Weijer, Ramon Baldrich

      Pages 1-14

   2. Image Segmentation by Branch-and-Mincut

      • Victor Lempitsky, Andrew Blake, Carsten Rother

      Pages 15-29

   3. What Is a Good Image Segment? A Unified Approach to Segment Extraction

      • Shai Bagon, Oren Boiman, Michal Irani

      Pages 30-44

3. Computational Photography

   1. Light-Efficient Photography

      • Samuel W. Hasinoff, Kiriakos N. Kutulakos

      Pages 45-59

   2. Flexible Depth of Field Photography

      • Hajime Nagahara, Sujit Kuthirummal, Changyin Zhou, Shree K. Nayar

      Pages 60-73

   3. Priors for Large Photo Collections and What They Reveal about Cameras

      • Sujit Kuthirummal, Aseem Agarwala, Dan B Goldman, Shree K. Nayar

      Pages 74-87

   4. Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections

      • Anat Levin, William T. Freeman, Frédo Durand

      Pages 88-101

4. Poster Session IV

   1. CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching

      • Motilal Agrawal, Kurt Konolige, Morten Rufus Blas

      Pages 102-115

   2. Searching the World’s Herbaria: A System for Visual Identification of Plant Species

      • Peter N. Belhumeur, Daozheng Chen, Steven Feiner, David W. Jacobs, W. John Kress, Haibin Ling et al.

      Pages 116-129

   3. A Column-Pivoting Based Strategy for Monomial Ordering in Numerical Gröbner Basis Calculations

      • Martin Byröd, Klas Josephson, Kalle Åström

      Pages 130-143

   4. Co-recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration

      • Minsu Cho, Young Min Shin, Kyoung Mu Lee

      Pages 144-157

   5. Movie/Script: Alignment and Parsing of Video and Text Transcription

      • Timothee Cour, Chris Jordan, Eleni Miltsakaki, Ben Taskar

      Pages 158-171

   6. Using 3D Line Segments for Robust and Efficient Change Detection from Multiple Noisy Images

      • Ibrahim Eden, David B. Cooper

      Pages 172-185

   7. Action Recognition with a Bio–inspired Feedforward Motion Processing Model: The Richness of Center-Surround Interactions

      • Maria-Jose Escobar, Pierre Kornprobst

      Pages 186-199

   8. Linking Pose and Motion

      • Andrea Fossati, Pascal Fua

      Pages 200-213

   9. Automated Delineation of Dendritic Networks in Noisy Image Stacks

      • Germán González, François Fleuret, Pascal Fua

      Pages 214-227

   10. Calibration from Statistical Properties of the Visual World

       • Etienne Grossmann, José António Gaspar, Francesco Orabona

       Pages 228-241

   11. Regular Texture Analysis as Statistical Model Selection

       • Junwei Han, Stephen J. McKenna, Ruixuan Wang

       Pages 242-255

   12. Higher Dimensional Affine Registration and Vision Applications

       • Yu-Tseh Chi, S. M. Nejhum Shahed, Jeffrey Ho, Ming-Hsuan Yang

       Pages 256-269

Welcome to the 2008EuropeanConference onComputer Vision. These proce- ings are the result of a great deal of hard work by many people. To produce them, a total of 871 papers were reviewed. Forty were selected for oral pres- tation and 203 were selected for poster presentation, yielding acceptance rates of 4.6% for oral, 23.3% for poster, and 27.9% in total. Weappliedthreeprinciples.First,sincewehadastronggroupofAreaChairs, the ?nal decisions to accept or reject a paper rested with the Area Chair, who wouldbeinformedbyreviewsandcouldactonlyinconsensuswithanotherArea Chair. Second, we felt that authors were entitled to a summary that explained how the Area Chair reached a decision for a paper. Third, we were very careful to avoid con?icts of interest. Each paper was assigned to an Area Chair by the Program Chairs, and each Area Chair received a pool of about 25 papers. The Area Chairs then identi?ed and rankedappropriatereviewersfor eachpaper in their pool, and a constrained optimizationallocated three reviewers to each paper. We are very proud that every paper received at least three reviews. At this point, authors were able to respond to reviews. The Area Chairs then needed to reach a decision. We used a series of procedures to ensure careful review and to avoid con?icts of interest. ProgramChairs did not submit papers. The Area Chairs were divided into three groups so that no Area Chair in the group was in con?ict with any paper assigned to any Area Chair in the group.

• Support Vector Machine
• action recognition
• aerial imagery
• algorithms
• classification
• edge detection
• motion capture
• multi body tracking
• multi-modal sensors
• radiance
• segmentation
• stereo matching
• surface matching
• surface reconstruction
• visually impaired

• Computer Science Department, University of Illinois at Urbana Champaign, Urbana, USA

  David Forsyth

• Department of Computing, Wheatley, Oxford Brookes University, Oxford, UK

  Philip Torr

• Department of Engineering Science, University of Oxford, Oxford, UK

  Andrew Zisserman

Policies and ethics