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Various Techniques used for Face Recognition
In this approach, complete face region is taken into account as input data into face catching system. One of the best example of holistic methods are Eigenfaces, PCA, Linear Discriminant Analysis and independent component analysis etc. Let's see the steps of Eigenfaces Method : This approach covers face recognition as a two-dimensional ......
Enhancing face recognition using Directional Filter Banks ...
Linear Discriminant Analysis (LDA) PCA constructs the face space without using face class (cate- ry) information where training considers the whole face data. owever, in LDA the goal is to find an efficient way to represent e face vector space [19,3] by exploiting the class information hich can be helpful for the identification task....
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