A SYSTEM FOR FINDING AND SEGMENTING A HAND IN A PARTIALLY CLUTTERED SCENE | ||
| International Conference on Aerospace Sciences and Aviation Technology | ||
| Article 65, Volume 12, ASAT Conference, 29-31 May 2007, May 2007, Pages 1-10 PDF (221.56 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/asat.2007.23986 | ||
| Authors | ||
| R. M. Farouk1; M. Ali Gomaa2 | ||
| 1Department of mathematics , Faculty of science , Zagazig , University , Egypt. | ||
| 2Department of mathematics , Faculty of science for Girls , Al Azhar , University , Cairo , Egypt. | ||
| Abstract | ||
| In this paper we discuss a system for finding and segmenting a human hand, which is holding an object. This is a difficult computer vision problem, because of the many degrees of freedom, the flexibility, and the clutter problem of the hand. In order to find the correspondences we have used a lateral similarity function. In the lateral excitation we have not only compared different features at one point but also the features at that point and its neighbors ( for example : Gobar feature , and skin color feature ). The system is an extension of the Elastic Graph Matching (EGM) algorithm [1]. EGM has been shown to be successful in numerous object vision tasks, its best performance being in face recognition. | ||
| Keywords | ||
| Hand detection; Object detection; Object Recognition; Lateral excitation; Elastic Graph Matching; Gabor Wavelets | ||
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