Parallel Integration of Vision Modules

Computer algorithms have been developed for several early vision processes, such as edge detection, stereopsis, motion, texture, and color, that give separate cues to the distance from the viewer of three-dimensional surfaces, their shape, and their material properties. Not surprisingly, biological...

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Vydané v:	Science (American Association for the Advancement of Science) Ročník 242; číslo 4877; s. 436 - 440
Hlavní autori:	Poggio, T., Gamble, E. B., Little, J. J.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Washington, DC The American Association for the Advancement of Science 21.10.1988 American Association for the Advancement of Science
Predmet:	Algorithms Artificial intelligence Biological and medical sciences Color Perception Computer programming & languages Computerized, statistical medical data processing and models in biomedicine Depth Perception Edge detection Eyes & eyesight General aspects. Methods Humans Medical sciences Models, Biological Models, Psychological Motion Perception Parallel processing Psychology & psychologists Reflectance Research facilities Sensory perception Stereo Surface properties Surface texture Vision research Vision, Ocular Visual Perception Biomedical data processing Image analysis Vision Computer Algorithm Artificial intelligence Biomedical engineering
ISSN:	0036-8075, 1095-9203
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Abstract	Computer algorithms have been developed for several early vision processes, such as edge detection, stereopsis, motion, texture, and color, that give separate cues to the distance from the viewer of three-dimensional surfaces, their shape, and their material properties. Not surprisingly, biological vision systems still greatly outperform computer vision programs. One of the keys to the reliability, flexibility, and robustness of biological vision systems is their ability to integrate several visual cues. A computational technique for integrating different visual cues has now been developed and implemented with encouraging results on a parallel supercomputer.
AbstractList	Computer algorithms have been developed for several early vision processes, such as edge detection, stereopsis, motion, texture, and color, that give separate cues to the distance from the viewer of three-dimensional surfaces, their shape, and their material properties. Not surprisingly, biological vision systems still greatly outperform computer vision programs. One of the keys to the reliability, flexibility, and robustness of biological vision systems is their ability to integrate several visual cues. A computational technique for integrating different visual cues has now been developed and implemented with encouraging results on a parallel supercomputer. Computer algorithms have been developed for several early vision processes, such as edge detection, stereopsis, motion, texture, and color, that give separate cues to the distance from the viewer of three-dimensional surfaces, their shape, and their material properties. Not surprisingly, biological vision systems still greatly outperform computer vision programs. One of the keys to the reliability, flexibility, and robustness of biological vision systems is their ability to integrate several visual cues. A computational technique for integrating different visual cues has now been developed and implemented with encouraging results on a parallel supercomputer. (Author) Computer algorithms have been developed for several early vision processes, such as edge detection, stereopsis, motion, texture, and color, that give separate cues to the distance from the viewer of three-dimensional surfaces, their shape, and their material properties. Not surprisingly, biological vision systems still greatly outperform computer vision programs. One of the keys to the reliability, flexibility, and robustness of biological vision systems is their ability to integrate several visual cues. A computational technique for integrating different visual cues has now been developed and implemented with encouraging results on a parallel supercomputer.Computer algorithms have been developed for several early vision processes, such as edge detection, stereopsis, motion, texture, and color, that give separate cues to the distance from the viewer of three-dimensional surfaces, their shape, and their material properties. Not surprisingly, biological vision systems still greatly outperform computer vision programs. One of the keys to the reliability, flexibility, and robustness of biological vision systems is their ability to integrate several visual cues. A computational technique for integrating different visual cues has now been developed and implemented with encouraging results on a parallel supercomputer. A computational technique for integrating different visual cues has been developed and implemented on a parallel supercomputer. The technique, which seeks to mimic the integration that takes place in the human visual system, takes into account color, texture, edge detection, motion, and stereovision. References.
Audience	Academic
Author	Little, J. J. Poggio, T. Gamble, E. B.
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Cites_doi	10.1109/5.5962 10.1109/2.31 10.1038/333364a0 10.1063/1.1699114 10.1038/317314a0 10.7551/mitpress/7132.001.0001
ContentType	Journal Article
Copyright	Copyright 1988 The American Association for the Advancement of Science 1989 INIST-CNRS Copyright American Association for the Advancement of Science Oct 21, 1988
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Snippet	Computer algorithms have been developed for several early vision processes, such as edge detection, stereopsis, motion, texture, and color, that give separate... A computational technique for integrating different visual cues has been developed and implemented on a parallel supercomputer. The technique, which seeks to...
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StartPage	436
SubjectTerms	Algorithms Artificial intelligence Biological and medical sciences Color Perception Computer programming & languages Computerized, statistical medical data processing and models in biomedicine Depth Perception Edge detection Eyes & eyesight General aspects. Methods Humans Medical sciences Models, Biological Models, Psychological Motion Perception Parallel processing Psychology & psychologists Reflectance Research facilities Sensory perception Stereo Surface properties Surface texture Vision research Vision, Ocular Visual Perception
Title	Parallel Integration of Vision Modules
URI	https://www.jstor.org/stable/1702604 https://www.ncbi.nlm.nih.gov/pubmed/3175666 https://www.proquest.com/docview/213539826 https://www.proquest.com/docview/24969678 https://www.proquest.com/docview/36166233 https://www.proquest.com/docview/78462316
Volume	242
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