Abstract
In this paper “EIGENFACES” are used to recognize human faces. We have developed a method that uses three eigenspaces. The system can identify faces under different angles, even if considerable changes were made in the orientation. First of all we represent the face using the Karhunen-Loeve transform. The face entered is automatically classified according to its orientation. Then we applied the rule of decision of the minimal distance for the identification. The system is simple, powerful and robust.
Cite
CITATION STYLE
Sehad, A., Hocini, H., Hadid, A., Djeddi, M., & Ameur, S. (2000). Face recognition under varying views. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1811, pp. 258–267). Springer Verlag. https://doi.org/10.1007/3-540-45482-9_25
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