سیستم‌های بینایی مصنوعی نسل بعدی: مهندسی معکوس سیستم بینایی انسان

In addressing the topic of reverse-engineering the human visual system for technological applications, Bharath (image analysis, Imperial College London, UK) and Petrou (signal processing, Imperial College London, UK), together with an interdisciplinary team of contributing authors, address the topic in separate sections from the perspectives of physiology and cognitive psychology, software engineering, and hardware engineering. With respect to physiology and cognitive psychology, they offer chapters on the physiology/psychology of vision, dynamical modeling of the retina, the functional organization of receptive field characteristics of the cells in V1 (the primary visual cortex), and psychophysical experiments for probing models of V1 processing and visual attention. Software engineering topics include modeling V1 as a spatial frequency analyzer, the mathematics of image processing with irregularly sampled data, the relationship between super-resolution techniques and the eye movements known as tremor and microsaccades, eye vergence and depth perception as they pertain to a robotic assisted surgery application, and motion detection algorithms. And finally hardware is addressed in chapters on polymer sensors for imitating the spectral response characteristics of the human retina, hybrid chips that combine organic (polymer) sensors and analog circuitry, models of very large scale integrated analog circuits for implementing classical simple cell V1 receptive fields, implementation of previously discussed algorithms in digital hardware, and aspects of pre-attentive vision in terms of spatial and temporal saliency created by motion. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

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.

"This resource brings engineering, physics, and computer vision researchers to the cutting edge of emerging technologies inspired by the human visual system. Key topics covered range 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, this is the first work of its kind that covers the full range of physiological, engineering, and mathematical issues in a single source."--Jacket