AN EVALUATION ON PERFORMANCE OF PCA IN FACE RECOGNITION WITH EXPRESSION VARIATIONS
Keywords:
face recognition under expression variations, principle component analysis, KNN algorithm
Abstract
Appearance-based recognition methods often encounter difficulties when the input images contain facial expression variations such as laughing, crying or wide mouth opening. In these cases, holistic methods give better performance than appearance-based methods. This paper presents some evaluation on face recognition under variation of facial expression using the combination of PCA and classification algorithms. The experimental results showed that the best accuracy can be obtained with very few eigenvectors and KNN algorithm (with k=1) performs better than SVM in most test cases.
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Machine Intelligence. 1993;15:1042–1052.
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Face Recognition by Elastic Bunch Graph Matching.
In: L C Jain, U Halici, I Hayashi, S B Lee, , Jae-Ho,
editors. Intelligent Biometric Techniques in Fingerprint
and Face Recognition. CRC Press; 1999. p. 355–396.
[3] Liposcak Z, Loncaric S. A scale-space approach to
face recognition from profiles. In: Proceedings of the
8th International Conference on Computer Analysis of
Images and Patterns. London, UK: Springer- Verlag;
1999. p. 243–250.
[4] Cox I J Ghosn J, Yianilos P N. Feature- based face
recognition using mixture-distance. In: Proceedings
of IEEE Conference on Computer Vision and Pattern
Recognition; 1996. p. 209–216.
[5] Cortes C, Vapnik V. Support-vector networks. Machine
Learning. 1995;20(3):273–297.
[6] Jain A K, Dubes R C. Algorithms for Clustering Data.
vol. 152. New Jersey: Prentice-Hall; 1988.
[7] Fukunaga K. Introduction to Statistical Pattern Recognition. 2nd ed. MA: Academic Press; 1990.
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Systems of Points in Space. Philosophical Magazine.
1901;p. 1042–1052.
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Published
01-June-2018
How to Cite
1.
Duong K, Nguyen A. AN EVALUATION ON PERFORMANCE OF PCA IN FACE RECOGNITION WITH EXPRESSION VARIATIONS. journal [Internet]. 1Jun.2018 [cited 22Dec.2024];8(30):61-6. Available from: https://journal.tvu.edu.vn/tvujs_old/index.php/journal/article/view/19
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