文件名称:ICIS-TONG
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [PPT]
- 上传时间：
- 2012-11-26
- 文件大小：
- 816kb
- 下载次数：
- 0次
- 提 供 者：
- ton****
- 相关连接：
- 无
- 下载说明：
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My presentation consists of four main parts.
At first, I will introduce some problems of face recognition techniques including general SIFT based methods
and the proposed SIFT classification method to solve the problem.
And then the proposed face recognition will be explained by comparing matching method.
The proposed system includes design of classifier, training process, selection of training images and identification process.
Moreover I will evaluate and discuss the experimental result on some challenging databases.
Finally I am going to conclude my presentation.
-My presentation consists of four main parts.
At first, I will introduce some problems of face recognition techniques including general SIFT based methods
and the proposed SIFT classification method to solve the problem.
And then the proposed face recognition will be explained by comparing matching method.
The proposed system includes design of classifier, training process, selection of training images and identification process.
Moreover I will evaluate and discuss the experimental result on some challenging databases.
Finally I am going to conclude my presentation.
At first, I will introduce some problems of face recognition techniques including general SIFT based methods
and the proposed SIFT classification method to solve the problem.
And then the proposed face recognition will be explained by comparing matching method.
The proposed system includes design of classifier, training process, selection of training images and identification process.
Moreover I will evaluate and discuss the experimental result on some challenging databases.
Finally I am going to conclude my presentation.
-My presentation consists of four main parts.
At first, I will introduce some problems of face recognition techniques including general SIFT based methods
and the proposed SIFT classification method to solve the problem.
And then the proposed face recognition will be explained by comparing matching method.
The proposed system includes design of classifier, training process, selection of training images and identification process.
Moreover I will evaluate and discuss the experimental result on some challenging databases.
Finally I am going to conclude my presentation.
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ICIS_TONG.ppt