Table of contents

book's mind-map

Section I. Fundamentals

Frontmatter and foreword, by Jeanny Herault
Chapter 1. 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, C. Alejandro 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. Visual 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