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Published in:
2006 | OriginalPaper | Chapter
Integration of Multiple Methods for Class and Specific Object Recognition
Authors : Al Mansur, Md. Altab Hossain, Yoshinori Kuno
Published in: Advances in Visual Computing
Publisher: Springer Berlin Heidelberg
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Service robots need object recognition strategy that can work on various objects and backgrounds. Since no single method can work well in various situations, we need to combine several methods so that the robots can use an appropriate one automatically. In this paper we propose a scheme to classify situations depending on the characteristics of object of interest, background and user demand. We classify the situations into three categories and employ different techniques for each one. We use SIFT and biologically motivated object recognition techniques developed by Serre et al. for two categories. These two methods do not work well on the remaining category of situations. We propose a contour based technique for this remaining category. Through our experiments, we show that the contour based method performs better than the previously mentioned two methods for this category of situations.