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Sampled FLDA for face recognition with single training image per person

โœ Scribed by Hongtao Yin; Ping Fu; Shengwei Meng


Book ID
113814676
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
147 KB
Volume
69
Category
Article
ISSN
0925-2312

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In face recognition, the Fisherface approach based on Fisher linear discriminant analysis (FLDA) has obtained some success. However, FLDA fails when each person just has one training face sample available because of nonexistence of the intra-class scatter. In this paper, we propose to partition each

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