The several face databases have been constructed for the evaluation of faces when associating with a one or a integration of these deviations of these features

The several face databases have been constructed for the evaluation of faces when associating with a one or a integration of these deviations of these features. The several kinds of face databases are mentioned in the Table1.

Table 1. Several kinds of face databases 5, 6
Face Database Picture Type RGB/Gray Scale Picture Size Kinds of
constraints
FERET Gray RGB 256 x 384 I/O, i, t, e, p
The yale face B Gray Scale 640 x 480 p, iAR Faces RGB 576 x 768
t, e ,i , o
CMU-PIE RGB 640 x 486 P, i, e
The yale face Gray Scale 320 x 243 e, iAsian face database RGB 640 x 480 i, o, p, e
Indian face database RGB 640 x 480 P, e
The several picture deviations are given as, p: pose, i:
illumination, o: occlusion, e: expression, t: time delay, I/O: indoor/outdoor conditions.

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V. CONCLUSION
Face recognition in unconstrained situations continues to be a challenging research domain. This paper have presented an extensive survey of face databases for constrained and unconstrained environments. It focuses mostly on novel databases that are freely available for the research purposes. Most of the popular face databases are concisely introduced and compared. The purpose of this review paper is to assist the young budding researchers in the area of face recognition by compiling the most widely used face databases and the link to download them so as to motivate their further research.

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