An Embedded 3D Face Recognition System Using a Dual Prism and a Camera

  • Chuan-Yu Chang
  • Chuan-Wang Chang
  • Min-Chien Chang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 238)

Abstract

In this paper, 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 recognition 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 recognition. Experimental results show that the proposed method of the exclusion of non-members works more efficiently than those of traditional methods.

Keywords

Three Dimensional Face Recognition Active Appearance Model 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Chuan-Yu Chang
    • 1
  • Chuan-Wang Chang
    • 2
  • Min-Chien Chang
    • 1
  1. 1.Department of Computer Science and Information EngineeringNational Yunlin University of Science and TechnologyYunlinTaiwan
  2. 2.Department of Computer Science and Information EngineeringFar East UniversityTainanTaiwan

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