文件名称:ICISTongLiu
- 所属分类：
- 图形图像处理(光照,映射..)
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- [PDF]
- 上传时间：
- 2012-11-26
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- 120kb
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- ton****
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This paper investigates a new face recognition system based on an efficient design of classifier using SIFT (Scale
Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong
robustness to the expression, accessory, pose and illumination
variations. One MLP (Multi Layer Perceptron) based network is
adopted as classifier of SIFT keypoint feature. The proposed
classifier classifies each keypoint into face ID then an ID index histogram counting method is applied as the identification method to recognize face images. Also a bootstrapping method is investigated to select training images during training MLP. The performance of face recognition in some challenging databases is improved efficiently.
Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong
robustness to the expression, accessory, pose and illumination
variations. One MLP (Multi Layer Perceptron) based network is
adopted as classifier of SIFT keypoint feature. The proposed
classifier classifies each keypoint into face ID then an ID index histogram counting method is applied as the identification method to recognize face images. Also a bootstrapping method is investigated to select training images during training MLP. The performance of face recognition in some challenging databases is improved efficiently.
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ICISTongLiu.pdf