This milestone interdisciplinary work brings you to the cutting edge of emerging technologies inspired by human sight, ranging from semiconductor photoreceptors based on novel organic polymers and retinomorphic processing circuitry to low-powered devices that replicate spatial and temporal processing in the brain. Moreover, it is the first work of its kind that integrates the full range of physiological, engineering, and mathematical issues and advances together in a single source.
Emphasizing both the devices and the software simulation point of view, this definitive book provides state-of-the-art retinal cell and primary visual cortex (V1) models that reflect our rapidly advancing understanding of human visual signal communication networks. It explores design and fabrication considerations behind real-world implementations, including organic light sensors that mimic human rods and cones, analog circuitry to perform retinal processing, algorithm design for motion detection and tracking, wavelet-based visual detection systems, and interest point detectors. You get the latest techniques for resolution and motion detection enhancement, including both the design and applications of biologically motivated spatio-temporal filtering of visual data, as well as a statistical framework for studying object detection in a phase-invariant manner and tools for describing local object invariants. Moreover, this trail-blazing work includes insight into the challenges that lie ahead in this cutting-edge field.
|Publisher:||Artech House, Incorporated|
|Series:||Artech House Bioinformatics and Biomedical Imaging Ser.|
|Product dimensions:||7.10(w) x 10.10(h) x 1.10(d)|
About the Author
Anil Bharath, Ph.D. is reader in Image Analysis at Imperial College in London, where he received his Ph.D. in electrical and electronic engineering. He has published over 60 papers in the field of imaging, image analysis, and acoustics. Dr. Bharath initiated the Basic Technology Project ""Reverse Engineering Human Visual Processes,"" which aims to create an engineering blueprint for a subset of processes in the human visual system. Maria Petrou, Ph.D. is a professor of signal processing and the head of the Communications and Signal Processing Group at Imperial College in London. She has published more than 300 papers on topics in remote sensing, computer vision, machine learning, color analysis, medical signal and image processing, and other fields, and she is co-author of two books on image processing. Dr. Petrou is a fellow of the Royal Academy of Engineering, IEE, and IAPR, a senior member of IEEE, and a distinguished fellow of the British Machine Vision Association. She earned her Ph.D. at the Institute of Astronomy in Cambridge, UK.
Table of Contents
Introduction. Organic Semiconductor Photoreceptors to Mimic Human Rods and Cones. Analog Retinomorphic Circuitry to Perform Retinal and Retinal Inspired Processing. Retinal Cell Modeling. Image Processing with Irregular Sampling Patterns. V1 Modeling. Analog Modeling of V1. Wavelet Models for V1. From Algorithm to Hardware Implementation. Real-Time Saliency Maps. Reverse Engineering of Human Vision: Hyperacuity and Super Resolution. Motion Detection and Tracking by Mimicking Neurological Dorsal/Ventral Pathways.