Non-Linear Principal Component Embedding for Face Recognition
نویسندگان
چکیده
منابع مشابه
Diagonal principal component analysis for face recognition
In this paper, a novel subspace method called diagonal principal component analysis (DiaPCA) is proposed for face recognition. In contrast to standard PCA, DiaPCA directly seeks the optimal projective vectors from diagonal face images without image-to-vector transformation. While in contrast to 2DPCA, DiaPCA reserves the correlations between variations of rows and those of columns of images. Ex...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2009
ISSN: 1812-5654
DOI: 10.3923/jas.2009.2625.2629