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Categorization through temporal analysis of patterns

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Advances in Computer Vision

Part of the book series: Advances in Computing Science ((ACS))

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Abstract

Fifteen years ago, in Vision [1], David Marr proposed a “computational investigation into the human representation and processing of visual information”. This book is considered by many in the field of computer vision as the main work of these last fifteen years. Indeed, Marr was the first to propose a complete methodology for computer vision which became known as the Marr paradigm. Considering vision as an information-processing system and a system as a mapping from one representation to another, Marr defined more precisely vision as a process that produces, from images of the external world, a description that is useful to the viewer and not cluttered with irrelevant information. Mary’s hypothesis was “if we are able to create, using vision, an accurate representation of the three-dimensional world and its properties, then using this information we can perform any visual task” [2]. Visually perceiving the external world and using these information were clearly separated.

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© 1997 Springer-Verlag/Wien

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Jolion, JM. (1997). Categorization through temporal analysis of patterns. In: Solina, F., Kropatsch, W.G., Klette, R., Bajcsy, R. (eds) Advances in Computer Vision. Advances in Computing Science. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6867-7_13

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  • DOI: https://doi.org/10.1007/978-3-7091-6867-7_13

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83022-2

  • Online ISBN: 978-3-7091-6867-7

  • eBook Packages: Springer Book Archive

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