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	Approach of Human Face Recognition Based on SIFT Feature Extraction and 3D Rotation Model
	Ran Zhou; Jie Wu; Qing He; Chao Hu; Zhuliang Yu
	2011
会议名称	2011 International Conference on Information and Automation
会议地点	Shenzhen, China
英文摘要	One of the main problems in face recognition is the influences of varying poses and illumination. This paper proposes a novel method of human face recognition to overcome the influences. The method is mainly based on the SIFT feature extraction and 3D rotation model of heads. SIFT descriptor is used to select key points of faces in the database including seventy people with nine poses in the first stage. Then according to the feature of a test face, matching algorithm is applied to find its candidates from the database and defines some criteria to convince the final matching result in the second stage. If satisfactory results can not be gained in the second stage, the 3D rotation method will be triggered and it makes a secondary decision by normalizing the depth information of the faces. This algorithm is tested in the face database and the result shows that the accuracy is as high as 94.45%.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3380]
专题	深圳先进技术研究院_集成所
作者单位	2011
推荐引用方式 GB/T 7714	Ran Zhou,Jie Wu,Qing He,et al. Approach of Human Face Recognition Based on SIFT Feature Extraction and 3D Rotation Model[C]. 见:2011 International Conference on Information and Automation. Shenzhen, China.

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