Abstract: Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition.
Adaptive Discriminant Analysis (ADA) is proposed, in which the within-class scatter matrix of each enrolled subject is estimated from his/her single sample, ...
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Face recognition from Single Sample per Person (SSPP) is extremely challenging because only one sample is available for each person. While many discriminant ...
In the case where multiple samples are available, the best approach to identify a person by face recognition system is to use Fischer Linear Discriminant ...
Face recognition from Single Sample per Person (SSPP) is extremely challenging because only one sample is available for each person. While many discriminant ...
In the case where multiple samples are available, the best approach to identify a person by face recognition system is to use Fischer Linear Discriminant ...
Face recognition from Single Sample per Person (SSPP) is extremely challenging because only one sample is available for each person. While many discriminant ...
Oct 22, 2024 · In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for face feature extraction and face recognition, which is based ...
This paper proposes a development of face recognition based on a combination of traditional eigenface with artificial neural network (ANN)
This is the so-called Single Sample Per Person (SSPP) problem in face recognition. This problem has prevented those discriminant analysis methods from ...