Computer Vision - ECCV 90

1. Front Matter

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2. On scale and resolution in the analysis of local image structure

   • Kjell Brunnström, Jan-Olof Eklundh, Tony Lindeberg

   Pages 1-12

3. Optimal filter for edge detection methods and results

   • Serge Castan, Jian Zhao, Jun Shen

   Pages 13-17

4. Biased anisotropic diffusion—A unified regularization and diffusion approach to edge detection

   • Niklas Nordström

   Pages 18-27

5. Hierarchical image analysis using irregular tessellations

   • Annick Montanvert, Peter Meer, Azriel Rosenfeld

   Pages 28-32

6. A bit plane architecture for an image analysis processor implemented with P.L.C.A. gate array

   • J. C. Klein, F. Collange, M. Bilodeau

   Pages 33-49

7. Scale-space singularities

   • Allan D. Jepson, David J. Fleet

   Pages 50-55

8. Recursive filtering and edge closing: Two primary tools for 3D edge detection

   • Olivier Monga, Rachid Deriche, Grégoire Malandain, Jean Pierre Cocquerez

   Pages 56-65

9. Edge contours using multiple scales

   • Donna J. Williams, Mubarak Shah

   Pages 66-70

10. Stereo integration, mean field theory and psychophysics

    • A. L. Yuille, D. Geiger, H. Bülthoff

    Pages 71-82

11. A pyramidal stereovision algorithm based on contour chain points

    • Aimé Meygret, Monique Thonnat, Marc Berthod

    Pages 83-88

12. Parallel and deterministic algorithms from MRFs: Surface reconstruction and integration

    • Davi Geiger, Federico Girosi

    Pages 89-98

13. Parallel multiscale stereo matching using adaptive smoothing

    • Jer-Sen Chen, Gérard Medioni

    Pages 99-103

14. On the motion of 3D curves and its relationship to optical flow

    • Olivier Faugeras

    Pages 105-117

15. Structure-from-motion under orthographic projection

    • Chris Harris

    Pages 118-123

16. Parallel computation of optic flow

    • Shaogang Gong, Michael Brady

    Pages 124-133

17. Obstacle detection by evaluation of optical flow fields from image sequences

    • Wilfried Enkelmann

    Pages 134-138

18. Extending the ‘Oriented smoothness constraint’ into the temporal domain and the estimation of derivatives of optical flow

    • Hans-Hellmut Nagel

    Pages 139-148

19. A comparison of stochastic and deterministic solution methods in Bayesian estimation of 2-D motion

    • Janusz Konrad, Eric Dubois

    Pages 149-160

20. Motion determination in space-time images

    • Bernd Jähne

    Pages 161-173

A collection of papers on computer vision research in Euro- pe, with sections on image features, stereo and reconstruc- tion, optical flow, motion, structure from motion, tracking, stereo and motion, features and shape, shape description, and recognition and matching.

• Bildanalyse
• Computer Vision
• Formbeschreibung
• Optical flow
• Stereo
• Tracking
• image analysis
• motion
• stereovision

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