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Reconstructing Occluded Facial Components using Support Vector Data Description  

Kim, Kyoung-Ho (조선대학교 컴퓨터공학부)
Chung, Yun-Su (한국전자통신연구원)
Lee, Sang-Woong (조선대학교 컴퓨터공학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.4, 2010 , pp. 457-461 More about this Journal
Abstract
Even though face recognition researches have been developed for a long ago, there is no practical face recognition system in real life. It is caused by several real situations where non-facial components such as glasses, scarf, and hair occlude facial components while facial images in a face database are well designed. This occlusion decreases recognition performance. Previous approaches in recent years have tried to solve non-facial components but have not resulted in enough performance. In this paper, we propose a method to handle this problem based on support vector data description, which trains the hyperball in feature space to find the minimum distance estimating the approximated face. In order to evaluate its performance and validate the effectiveness of the proposed method, we make several experiments and the results show that the proposed method has a considerable effectiveness.
Keywords
Face reconstruction; SVDD; occluded face;
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