FisherFaces for Face Matching 1.0
FisherFaces for Face Matching allows you to create and modify faces in 3D linear subspace.
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0.00 
Freeware
0K
Windows Vista 
FisherFaces for Face Matching allows you to create and modify faces in 3D linear subspace.
We develop a face recognition algorithm which is insensitive to large variation in lighting direction and facial expression. Taking a pattern classification approach, we consider each pixel in an image as a coordinate in a high-dimensional space. We take advantage of the observation that the images of a particular face, under varying illumination but fixed pose, lie in a 3D linear subspace of the high dimensional image space—if the face is a Lambertian surface without shadowing.
However, since faces are not truly Lambertian surfaces and do indeed produce self-shadowing, images will deviate from this linear subspace. Rather than explicitly modeling this deviation, we linearly project the image into a subspace in a manner which discounts those regions of the face with large deviation. Our projection method is based on Fisher’s Linear Discriminant and produces well separated classes in a low-dimensional subspace, even under severe variation in lighting and facial expressions.
tags
linear subspace the face and facial high dimensional
Download FisherFaces for Face Matching 1.0
Download FisherFaces for Face Matching 1.0
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