Categorization through temporal analysis of patterns

  • Jean-Michel Jolion
Conference paper
Part of the Advances in Computing Science book series (ACS)


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.


Receptive Field Perceptive Model Computer Vision System Internal Behavior Elementary Processor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag/Wien 1997

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  • Jean-Michel Jolion

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