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Titlebook: Natural Object Recognition; Thomas M. Strat Book 1992 Springer Science+Business Media New York 1992 algorithms.cognition.computer vision.i

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发表于 2025-3-21 18:49:27 | 显示全部楼层 |阅读模式
书目名称Natural Object Recognition
编辑Thomas M. Strat
视频video
丛书名称Springer Series in Perception Engineering
图书封面Titlebook: Natural Object Recognition;  Thomas M. Strat Book 1992 Springer Science+Business Media New York 1992 algorithms.cognition.computer vision.i
描述.Natural Object Recognition. presents a totally new approach to the automation of scene understanding. Rather than attempting to construct highly specialized algorithms for recognizing physical objects, as is customary in modern computer vision research, the application and subsequent evaluation of large numbers of relatively straightforward image processing routines is used to recognize natural features such as trees, bushes, and rocks. The use of contextual information is the key to simplifying the problem to the extent that well understood algorithms give reliable results in ground-level, outdoor scenes.
出版日期Book 1992
关键词algorithms; cognition; computer vision; image processing; object recognition
版次1
doihttps://doi.org/10.1007/978-1-4612-2932-2
isbn_softcover978-1-4612-7725-5
isbn_ebook978-1-4612-2932-2Series ISSN 1431-858X
issn_series 1431-858X
copyrightSpringer Science+Business Media New York 1992
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发表于 2025-3-21 23:39:59 | 显示全部楼层
https://doi.org/10.1007/978-1-4612-2932-2algorithms; cognition; computer vision; image processing; object recognition
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978-1-4612-7725-5Springer Science+Business Media New York 1992
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Natural Object Recognition978-1-4612-2932-2Series ISSN 1431-858X
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Experimental Results,ge understanding research. The ideas designed into that architecture embody a theory of computational vision for complex domains. To evaluate that theory, it is necessary to define a goal and to perform experiments that test how well the theory achieves that goal.
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Thomas M. Strats Begriffs »Selbstorganisation« muß genau gesagt werden, welches System und welcher Prozeß auf welchem Komplexitätsniveau untersucht werden sollen, d.h. wer die »Selbste« sind, die sich organisieren, und wie sie sich von nicht-selbstorganisierenden Prozessen unterscheiden. Dies will ich im folgenden
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