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Description: eigenfaces vs fischer faces
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Size: 506880 |
Author: remokris |
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Description: Face recognition code to recognize 3d faces using Open CV
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Size: 19456 |
Author: jihnson |
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Description: The way this algorhitm works is by treating face recognition as a
* two-dimensional recognition problem, taking advantage of the fact that
* faces are normally upright and thus may be described by a small set
* of 2-D characterisits views. Face images are projected onto a
* feature space ( face space ) that best encodes the variation
* among known face images. The face space is defined by the
* eigenfaces , which are the eigenvectors of the set of faces
* they do not necessarily correspond to isolated features such as eyes,
* ears, and noses. (quoted the paper s abstract)-The way this algorhitm works is by treating face recognition as a
* two-dimensional recognition problem, taking advantage of the fact that
* faces are normally upright and thus may be described by a small set
* of 2-D characterisits views. Face images are projected onto a
* feature space ( face space ) that best encodes the variation
* among known face images. The face space is defined by the
* eigenfaces , which are the eigenvectors of the set of faces
* they do not necessarily correspond to isolated features such as eyes,
* ears, and noses. (quoted the paper s abstract)
Platform: |
Size: 559104 |
Author: BISIMWA |
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