Vision as Process

I Integration and Control of Perception.- 1. System Integration and Control.- 2. The SAVA Skeleton System.- 3. KTH Software Integration in the VAP Project.- 4. A Vision Programmers Workbench.- II Image Processing and Description.- 5. Image Processing in the SAVA System.- 6. Building a Pyramid of Low-Pass Images.- 7. One-pass Polygonal Approximation of a Contour Image.- 8. Tracking and Description of Image Structures.- 9. Contextual Junction Finder.- III Advanced Image Processing.- 10. Introduction and Background.- 11. Phase-based Disparity Estimation.- 12. Low Level Focus of Attention Mechanisms.- 13. Tensor Based Spatio-temporal Signal Analysis.- 14. Line Extraction Using Tensors.- IV Active Gaze Control and 3D Scene Description.- 15. The KTH Head-Eye System.- 16. Hierarchical Control of a Binocular Camera Head.- 17. Active 3D Scene Description in Object Reference Frames.- 18. Geometric Description and Maintenance of 3D Objects in an Active Vision System.- V Active Scene Interpretation.- 19. Control of Perception.- 20. Control of Scene Interpretation.- 21. Recognition of Polyhedral Objects Using Triangle-pair Features.- 22. Recognition of 3D Cylinders in 2D Images by Top-Down Model Imposition.- 23. Camera Control for Establishing the Current and Next-Look Direction in an Active Vision Object Recognition System.- VI Lessons Learned.