Real-Time Object Measurement and Classification

1. Two real-time architectures for image processing and computer vision.- 2. A flexible and intelligent system for fast measurements in binary images for in-line robotic control.- 3. Object recognition and real-time relative state estimation under egomotion.- 4. Hardware-software trade-offs in robot vision.- 5. Hardware versus software implementations of fast image processing algorithms.- 6. Robot perception systems: some design issue.- 7. Two parallel algorithms for the analysis of random images.- 8. Shape detection using the adaptive Hough transform.- 9. Shape analysis based on boundary curve segmentation.- 10. Progress in trinocular stereo.- 11. Feature extraction using structured light.- 12. A clustering approach to texture classification.- 13. Spatial feature measurements in parallel structures.- 14. What an autonomous robot can learn about its environment starting from scratch using image sequences.- 15. Three-dimensional object recognition based on multiview representation and extended Gaussian image.- 16. Symbolic surface descriptors.- 17. A novel architecture for real time pick up of 3D motion and 3D layout information from the flow of the optic array.- 18. Object identification and automatic learning using CA vision, CAD and AI based approach.- 19. Real-time restoration and segmentation algorithms for hidden Markov mesh random fields image models.- 20. Coherent architectures for machine vision.- 21. Architectural solutions for intermediate-level vision.- 22. Statistical optimization of image processing architectures for maximum resource utilization and throughput.- 23.Object recognition in multi-resolution systems.- 24. Multisensor knowledge systems.- 25. Knowledge representation for three-dimensional sensor fusion with context truth maintenance.- List Of Participants.