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EURASIP Journal on Advances in Signal Processing
Figure 1 | EURASIP Journal on Advances in Signal Processing

Figure 1

From: A Multifactor Extension of Linear Discriminant Analysis for Face Recognition under Varying Pose and Illumination

Figure 1

Low-dimensional representations of training images obtained by PCA using the CMU PIE database. (a) Each set of samples with the same color represents each subject's face images. (b) Each set of samples with the same color represents face images under each viewpoint. (c) Each set of samples with the same color represents face images under each lighting condition. (d) The red C-shape curve connects face images under various lighting conditions for one person and one viewpoint. The blue V-shape curve connects face images under various viewpoints for one person and one lighting condition. Green dots represent 30 subjects' face images under one viewpoint and one lighting condition. We can see that varying viewpoints and lighting conditions create clusters, rather than varying subjects.

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