Two-Dimensional PCA for Face Recognition

Versión 1.0.0 (3,45 MB) por Falah Alsaqre
Implementation of classical Two-Dimensional Principal Component Analysis (2DPCA) for face recognition.
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Actualizado 8 nov 2018

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This script implements classical Two-Dimensional Principal Component Analysis (2DPCA) for face recognition. I used simple statements to ease the understanding of 2DPCA-based face recognition. This script is useful for students and researches in this field. The employed dataset is ORL AT&T Laboratories Cambridge (www.cl.cam.ac.uk/Research/DTG/attarchive:pub/data/att_faces.zip), and it is provided here as mat format (ORL_FaceDataSet).

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Falah Alsaqre (2024). Two-Dimensional PCA for Face Recognition (https://www.mathworks.com/matlabcentral/fileexchange/69377-two-dimensional-pca-for-face-recognition), MATLAB Central File Exchange. Recuperado .

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Se creó con R2018b
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Versión Publicado Notas de la versión
1.0.0