2013年人脸识别外文翻译—人脸识别技术综述（节选）

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1、字数：英文 3186 单词， 17705 字符；中文 5317 汉字 出处 ： V.Vijayakumari.Face Recognition Techniques: A SurveyJWorld Journal of Computer Application and Technology.2013,1(2):41-50 外文文献 Face Recognition Techniques: A Survey Abstract Face is the index of mind. It is a complex multidimensional structure and needs a good

2、 computing technique for recognition. While using automatic system for face recognition, computers are easily confused by changes in illumination, variation in poses and change in angles of faces. A numerous techniques are being used for security and authentication purposes which includes areas in d

3、etective agencies and military purpose. These surveys give the existing methods in automatic face recognition and formulate the way to still increase the performance. Keywords: Face Recognition, Illumination, Authentication, Security 1.Introduction Developed in the 1960s, the first semi-automated sy

4、stem for face recognition required the administrator to locate features ( such as eyes, ears, nose, and mouth) on the photographs before it calculated distances and ratios to a common reference point, which were then compared to reference data. In the 1970s, Goldstein, Armon, and Lesk used 21 specif

5、ic subjective markers such as hair color and lip thickness to automate the recognition. The problem with both of these early solutions was that the measurements and locations were manually computed. The face recognition problem can be divided into two main stages: face verification (or authenticatio

6、n), and face identification (or recognition).The detection stage is the first stage; it includes identifying and locating a face in an image. The recognition stage is the second stage; it includes feature extraction, where important information for the discrimination is saved and the matching where the recognition result is given aid of a face database. 2.Methods 2.1.Geometric Feature Based Methods The geometric feature based approaches are the earliest approaches to face recognition