Biologically Inspired Computer Vision (2015)
Part I: Fundamentals
Chapter 2: Bioinspired Vision Sensing
Chapter 3: Retinal Processing: From Biology to Models and Applications
Chapter 4: Modeling Natural Image Statistics
Chapter 5: Perceptual Psychophysics
Part II: Sensing
Chapter 6: Bioinspired Optical Imaging
Chapter 7: Biomimetic Vision Systems
Part III: Modelling
Chapter 9: Probabilistic Inference and Bayesian Priors in Visual Perception
Chapter 10: From Neuronal Models to Neuronal Dynamics and Image Processing
Chapter 11: Computational Models of Visual Attention and Applications
Chapter 12: Visual Motion Processing and Human Tracking Behavior
Chapter 13: Cortical Networks of Visual Recognition
Chapter 14: Sparse Models for Computer Vision
Chapter 15: Biologically Inspired Keypoints
Part IV: Applications
Chapter 16: Nightvision Based on a Biological Model
Chapter 17: Bioinspired Motion Detection Based on an FPGA Platform
Chapter 18: Visual Navigation in a Cluttered World