Analysis of Face Features and Personality

碩士 === 淡江大學 === 資訊工程學系碩士在職專班 === 97 === The Face recognition can be applied to many different fields. For example, the building entrance guard control, the criminal verification, the security verification of finance, and the identity verification of the network trade, etc. But, I don’t want to do th...

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Bibliographic Details
Main Authors: Chih-Wei Hsu, 許智威
Other Authors: Hui-Huang Hsu
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/49738242666480474158
Description
Summary:碩士 === 淡江大學 === 資訊工程學系碩士在職專班 === 97 === The Face recognition can be applied to many different fields. For example, the building entrance guard control, the criminal verification, the security verification of finance, and the identity verification of the network trade, etc. But, I don’t want to do these things that someone already do. I thing I can find an interesting application and nobody did it ever. This is my purpose. The system is different with the above applications. It provides a new application and interesting applications. Combination of Physiognomy characteristics and facial recognition do the personality characteristics analysis. And, combination of the social psychology and the personality characteristics of work duties do suitable job recommendations by matching the personality characteristics. The object of my research is the Analysis of Face Feature and Personality. I combine the Chinese’s Physiognomy and Face recognition to do a system. The system automatically analyses personality from personal photo of big head. Some image technical, for example, location and analysis I use some function from OPENCV that did from INTEL. In this paper, an approach to face detection based on Boosted Cascade arithmetic is introduced. This arithmetic adopts the image representation of integral image and cascade classificatory structure, so that the arithmetic can detect faces quickly and accurately. This paper also presents solutions of improving Boosted Cascade arithmetic. The first solution is using the model of eyes feature to verify face detection. The result is better than original. And, the second solution is to use the proportion and position of sub-block of face to verify the result of detection from eye, nose and mouth. The result is also better than original. When we location the eye, nose and mouth, then we can get the position and size feature by some image process. Then, using these features to map the Chinese’s Physiognomy features, the Chinese’s Physiognomy features have to define and to quantify. We can get the personality of personal. Finally, we can use the personality of personal to map the personality of job. Then, get the right job of personal.