LITERATURE SURVEY OF AUTOMATIC FACE RECOGNITION ...

LIST OF FIGURES
Figure Page
1.1 Bees recognizing Human face……………………………………………………3
2.1 Face query from the database……………………………………………………4
2.2 Process of face recognition…………………………………………………….…6
4.1 some Face recognition methods……………………………………………..…14
4.3.1 Principal Components (PC) of a two­dimensional set of points. The first
principal component provides an optimal linear dimension reduction from
2D to 1D, in the sense of the mean square error……………………….….16
4.10.1 Jet……………………………………………………………………………….18
4.10.2 Labeled Graph………………………………………………………………...18
4.11.1. The training image is split into shape and shape­normalized texture…..19
4.15.1. HMM for face recognition image…………………………………………....21
4.15.2. Block extraction form ………………………………………………………..21
4.17.2.Generalizing two prototype feature points x1 and x2………………...……22
5.1. Examples of faces in the Weizmann data base…………………………….…25
6.1. The reduction in error rate for state­of­the­art face recognition algorithms as
documented through the FERET, the FRVT 2002, and the FRVT 2006
evaluations……………………………………………………………………………..30
7.1. Face Recognition Core Paper…………………………………………………..34
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