Implementation of 3D Face Recognition Using Single Camera and a Double-Prism

碩士 === 國立雲林科技大學 === 資訊工程系碩士班 === 101 === In this thesis, a single camera and a dual prism are integrated to implement a three-dimensional face recognition system. The proposed system is implemented on an embedded development platform named UBIKIT6612. A dual prism placed in front of the camera is us...

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Bibliographic Details
Main Authors: Min-chien Chang, 張明建
Other Authors: Chuan-yu Chang
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/77277406985821449619
Description
Summary:碩士 === 國立雲林科技大學 === 資訊工程系碩士班 === 101 === In this thesis, a single camera and a dual prism are integrated to implement a three-dimensional face recognition system. The proposed system is implemented on an embedded development platform named UBIKIT6612. A dual prism placed in front of the camera is used to simulate human binocular vision. We then used the active appearance models (AAM) to find out the corresponding feature points and calculate the depth of the face by stereo vision. Accordingly, three-dimensional facial model of each member is constructed. Facial features extracted from the 3D facial models are used for identification. To promote the identification accuracy, we first exclude most of non-members by support vector data description (SVDD), followed by conducting a multi-class support vector machines (SVM) for face identification. Experimental results show that the proposed method of the exclusion of non-members works more efficiently than those of traditional methods.