This book serves as a comprehensive but rigorous reference in the area of biologically inspired computer vision modeling. Biologically inspired vision, that is the study of visual systems of living beings, can be considered as a two-way process. On the one hand, living organisms can provide a source of inspiration for
new computationally efficient and robust vision models, and on the other hand, machine vision approaches can provide new insights into understanding biological visual systems. Over the different chapters, this book covers a wide range from the fundamental to the more specialized topics. It also analyzes the influence of these studies in the design of novel, more advanced vision sensors. In particular, the last section of the book provides an overview of a few representative applications and current state of the art of the research in this area. This book contains 18 chapters that have been organized in four different parts: Fundamentals - Sensing - Modeling - Applications.