Model for a gradual objects recognition

Authors:
M. Sadgal;A. El Fazziki;A. Ait Ouahman
Affiliations:
Département Informatique, Université Caddi Ayyad, Faculté des sciences Semlalia, Marrakesh, Morocco;Département Informatique, Université Caddi Ayyad, Faculté des Sciences Semlalia, Marrakesh, Morocco;Département de Physique, Université Caddi Ayyad, Faculté des sciences Semlalia, Marrakesh, Morocco
Venue:
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Year:
2003

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Abstract

The objects appearance in the images is modified because of several external factors (i.e.: illumination, rotate, pose) and the application of the standard comparison algorithms does not answer suitably. For landing this problem, we present here an architecture based on a gradual recognition: The object is represented on a scale of categories, and the task of the algorithms of recognition is to concentrate on the determination of the category the most detailed according to information extracted from the image. It is not necessary any more to pass by several intermediate phases before starting the process of recognition. On this principle, we propose a model for the internal representation of a system of vision which tries to generalize the recognition of objects by taking into account the categorization.