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임기현(G. H. Lim),류광근(G. G. Ryu),서일홍(I. H. Suh),김종복(J. B. Kim),장국현(G. X. Zhang),강정호(J. H. Kang),박명관(M. K. Park) 대한전기학회 2007 대한전기학회 학술대회 논문집 Vol.2007 No.4
In this paper. We propose reasoning system for object recognition and space classification using not only visual features but also contextual information. It is necessary to perceive object and classify space in real environments for mobile robot. especially vision based. Several visual features such as texture, SIFT, color are used for object recognition. Because of sensor uncertainty and object occlusion, there are many difficulties in vision -based perception. To show the validities of our reasoning system, experimental results will be illustrated, where object and space are inferred by bi-directional rules even with partial and uncertain information. And the system is combined with top-down and bottom -up approach.