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Comparison of recognition rate with distance on stereo face images base PCA  

Park Chang-Han (Department of Computer Engineering, Kwangwoon University)
Namkung Jae-Chan (Department of Computer Engineering, Kwangwoon University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.42, no.1, 2005 , pp. 9-16 More about this Journal
Abstract
In this paper, we compare face recognition rate by distance change using Principal Component Analysis algorithm being input left and right image in stereo image. Change to YCbCr color space from RGB color space in proposed method and face region does detection. Also, after acquire distance using stereo image extracted face image's extension and reduce do extract robust face region, experimented recognition rate by using PCA algorithm. Could get face recognition rate of 98.61%(30cm), 98.91%(50cm), 99.05%(100cm), 99.90%(120cm), 97.31%(150cm) and 96.71%(200cm) by average recognition result of acquired face image. Therefore, method that is proposed through an experiment showed that can get high recognition rate if apply scale up or reduction according to distance.
Keywords
stereo image; disparity; Principal Component Analysis; face feature extraction; face recognition;
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Times Cited By KSCI : 1  (Citation Analysis)
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