Simple Form Recognition using Bayesian Programming

The environment that surrounds us is very complex. Understanding and interpreting it is a very hard task. This paper proposes an approach allowing simple form recognition with a camera by using a probabilistic approach called Bayesian Programming. The main goal is to recognize several type of elemental features composing an image, such as local orientation of a contour, or corners. The Bayesian Program for feature recognition is presented and the learning stage explained. One approach has been validated through experiments.


Published in:
IAS-9, 713-721
Presented at:
International Conference on Intelligent Autonomous Systems, Tokyo, March 2006
Year:
2006
Keywords:
Laboratories:




 Record created 2006-11-03, last modified 2018-03-17

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