Face identification using algebraic features of images

Ke Liu; Jingyu Yang; Lei-Jian Liu; Ying-Jiang Liu; Ching Y. Suen

doi:10.1117/12.191893

25 October 1994 Face identification using algebraic features of images

Ke Liu, Jingyu Yang, Lei-Jian Liu, Ying-Jiang Liu, Ching Y. Suen

Proceedings Volume 2277, Automatic Systems for the Identification and Inspection of Humans; (1994) https://doi.org/10.1117/12.191893
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

This paper proposes a new technique for the identification of face images. The basis idea is that the front face images of a person are considered as the samples coming from multiple classes, each class corresponding to the face images of one head orientation. Therefore, for each person, we can take his front facial images from a number of head orientations as training data based on which an algebraic feature extractor and a classifier can be built for this person. The problems of feature extraction, classifier design, face verification and recognition are discussed in this paper. Experimental results are also provided.

Citation Download Citation

Ke Liu, Jingyu Yang, Lei-Jian Liu, Ying-Jiang Liu, and Ching Y. Suen "Face identification using algebraic features of images", Proc. SPIE 2277, Automatic Systems for the Identification and Inspection of Humans, (25 October 1994); https://doi.org/10.1117/12.191893

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