Overview
Combines two methodologies, computer vision and neural networks as a means to find the ‘ideal’ visual representation
Makes a strong effort to develop networks that are suitable for neuromorphic hardware, a substrate that can run networks in real-time and with little power
Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The reader is presented an approach to the construction of a visual system, which is behaviorally, computationally and neurally motivated. The central goal is to characterize the process of visual categorization and to find a suitable representation format that can successfully deal with the structural variability existent within visual categories. It does not define such representations a priori but attempts to show directions on how to gradually work towards them. The book reviews past and existent theories of visual object and shape recognition in the fields of computer vision, neuroscience and psychology. The entire range of computations is discussed, as for example contour extraction in retinal circuits, orientation determination in cortical networks, position and scale independence of shape, as well as the issue of object and shape representation in a neural substrate. Region-based approaches are discussed and are modeled with wave-propagating networks. It is demonstrated how those networks operate on gray-scale images. A completely novel shape recognition architecture is proposed that can recognize simple shapes under various degraded conditions. It is discussed how such networks can be used for constructing basic-level object representations. It is envisioned how those networks can be implemented using the method of neuromorphic engineering, an analog electronic hardware substrate than can run neural computations in real-time and with little power.
Reviews
From the reviews:
"Psychologist Rasche … presents an approach to the construction of a visual system. … Past theories of visual object and shape recognition in computer vision studies are reviewed. From these studies there is proposed a completely novel shape-recognition architecture that can recognize simple shapes under various degraded situations. … Summing Up: Recommended. Graduate students through professionals, and those interested in the psychology of visual systems." (C. Tappert, CHOICE, Vol. 42 (9), May, 2005)
Authors and Affiliations
Bibliographic Information
Book Title: The Making of a Neuromorphic Visual System
Authors: Christoph Rasche
DOI: https://doi.org/10.1007/b101575
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-0-387-23468-7Published: 19 November 2004
Softcover ISBN: 978-1-4614-9849-0Published: 08 December 2014
eBook ISBN: 978-0-387-23469-4Published: 06 December 2005
Edition Number: 1
Number of Pages: XI, 140
Topics: Neurosciences, Biomedical Engineering and Bioengineering, Neurobiology, Microwaves, RF and Optical Engineering