Combining structural descriptions and image-based representations for image, object, and scene recognition

Authors:
Nicolas Do Huu;Williams Paquier;Raja Chatila
Affiliations:
LAAS, CNRS, Toulouse Cedex 4, France;LAAS, CNRS, Toulouse Cedex 4, France;LAAS, CNRS, Toulouse Cedex 4, France
Venue:
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Year:
2005

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Abstract

Object and scene learning and recognition is a major issue in computer vision, in robotics and in cognitive sciences. This paper presents the principles and results of an approach which extracts structured view-based representations for multi-purpose recognition. The structures are hierarchical and distributed and provide for generalization and categorization. A tracking process enables to bind views over time and to link consecutive views. Scenes can also be recognized using objects as components. Illustrative results are presented.