Face Pose Transformation for Pose Invariant Face Recognition 


Vol. 30,  No. 6, pp. 570-576, Jun.  2005


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  Abstract

Recognition of posed face is one of the most challenging problems in the field of face recognition. In this paper, as a preprocessing step for recognizing such faces, a method to transform non-frontal face images into frontal face images is proposed. The linear relationship between eigenfaces is utilized to obtain a pose transform matrix. The proposed method is verified with a well-known face recognition algorithm based on PCA/LDA. Compared to the conventional algorithm applied to the original posed face images, our experimental results indicated that the proposed method contributes to improve the recognition rate of such faces by 20%.

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  Cite this article

[IEEE Style]

H. Park, J. Park, W. Kim, "Face Pose Transformation for Pose Invariant Face Recognition," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 6, pp. 570-576, 2005. DOI: .

[ACM Style]

Hyun-Sun Park, Jong-Il Park, and Whoi-Yul Kim. 2005. Face Pose Transformation for Pose Invariant Face Recognition. The Journal of Korean Institute of Communications and Information Sciences, 30, 6, (2005), 570-576. DOI: .

[KICS Style]

Hyun-Sun Park, Jong-Il Park, Whoi-Yul Kim, "Face Pose Transformation for Pose Invariant Face Recognition," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 6, pp. 570-576, 6. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880