Table of Contents
Section I. Fundamentals
Ch1. Introduction, G. Cristóbal, L. Perrinet and M. Keil Ch2. Bio-inspired vision, C. Posch Ch3. Using HVS for Low-Level Image Processing, D. Aleysson and G. Nathalie Ch4. Modeling natural image statistics for Computer Vision, H.E. Gerhard and M. Bethge Ch5. Perceptual Psychophysics, A. Párraga Section II. Optics and Sensing Ch6. Bioinspired Optical Imaging, M. Sarkar Ch7. Biomimetic vision systems, R. Voelkel Ch8. Plenoptic sensors, F. Pérez |
Section III. Modeling
Ch9. Probabilistic Inference and Bayesian Priors in Visual Perception, G. Sotiropoulos and P. Series Ch10. From Neuronal Models to Neuronal Dynamics and Image Processing, M. Keil Ch11. Computational models of Visual Attention and Applications, O. LeMeur and M. Mancas Ch12. Motion Detection and Human Behaviour, A. Montagnini, L. Perrinet and G. S. Masson Ch13. Cortical networks of visual recognition, M. Cord, C. Theriault and N. Thome Ch14. Sparse Models for Computer Vision, L. Perrinet Ch15. Biologically Inspired Keypoint Detectors, A. Alahi, G. Goetz and E. D'Angelo Section IV. Applications
Ch16. Nightvision based on a biological model. M. Oskarsoon, H. Malm and E. Warrant Ch17. Bio-inspired Motion Detection based on a FPGA platform. T. Köhler Ch18. Visual Navigation in a Cluttered World, N.A. Browning and F. Raudies |