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
โฆ LIBER โฆ
Sampled FLDA for face recognition with single training image per person
โ 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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