We propose a method of efficient face description for facial image retrieval from a large data set. The novel descriptor is obtained by decomposing the face ...
A method of efficient face description for facial image retrieval from a large data set by decomposing the face image into several components and then ...
The decomposition combined with LDA (Linear Discriminant Analysis) provides discriminative facial features that are less sensitive to light and pose changes.
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Jul 1, 2005 · The decomposition combined with LDA (Linear Discriminant Analysis) provides discriminative facial descriptions that are less sensitive to light ...
The decomposition combined with LDA (Linear Discriminant Analysis) provides discriminative facial descriptions that are less sensitive to light and pose changes ...
The decomposition combined with LDA (Linear Discriminant Analysis) provides discriminative facial descriptions that are less sensitive to light and pose changes ...
The decomposition combined with LDA (Linear Discriminant Analysis) provides discriminative facial descriptions that are less sensitive to light and pose changes ...
Abstract. In this paper we describe a face recognition method based on PCA (Prin- cipal Component Analysis) and LDA (Linear Discriminant Analysis).
Our approach is a holistic linear discriminant analysis (LDA)-based feature extraction for human faces followed by an evidential soft-decision integration for ...