25 October 1994 Face identification using algebraic features of images
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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.
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Ke Liu, Ke Liu, Jingyu Yang, Jingyu Yang, Lei-Jian Liu, Lei-Jian Liu, Ying-Jiang Liu, Ying-Jiang Liu, Ching Y. Suen, 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); doi: 10.1117/12.191893; https://doi.org/10.1117/12.191893
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