3D modelling and recognition

Part of book or chapter of book English OPEN
Rodrigues, Marcos; Robinson, Alan; Alboul, Lyuba; Brink, Willie;
(2006)
  • Publisher: World Scientific and Engineering Academy and Society (WSEAS)
  • Subject:
    acm: ComputingMethodologies_PATTERNRECOGNITION | ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION

3D face recognition is an open field. In this paper we present a method for 3D facial recognition based on Principal Components Analysis. The method uses a relatively large number of facial measurements and ratios and yields reliable recognition. We also highlight our a... View more
  • References (9)

    [1] T. Nagamine, T. Uemura, and I. Masuda. “3D facial image analysis for human identification”, ICPR 1992, Netherlands, pp. 324-327.

    [2] K.W. Bowyer, K. Chang, P. Flynn, “A Survey of 3D and Multi-Modal 3D+2D Face Recognition”, ICPR 2004, Cambridge (UK), 2005.

    [3] C. Hesher et al., “A novel technique for face recognition using range images”, Intl Symp on Sig Proc Apps, 2003, Paris,

    [4] D. Terzopoulos, A. Witkin, and M. Kass, “Symmetry-Seeking Models for 3D Object Reconstruction”, IJCV 1(3) (1987) 211-221.

    [5] M. W. Lee and S. Ranganath, “Pose-invariant face recognition using a 3D deformable model”, Pattern Recognition 36 (2003) 1835-1846.

    [6] M. Rydfalk, CANDIDE, a parameterised face, Internal Report, Department of Electrical Engineering, Link oping University, Sweden, (October 1987).

    [7] K. Aizawa, H. Harashima, T. Saito, “Model-based Analysis synthesis Image Coding for a Persons Face”, Image Commun. 1(2) (1989) 139-152.

    [8] A.L. Yuille, P.W. Halliman, D.S. Cohen, “Feature Extraction from Faces using Deformable Templates”, Int. J. Comput. Vision, 8(2) (1992) 133-144.

    [9] A. Robinson and M. Rodrigues, Fast 3D Acquisition with the GMPR Scanner , http://www.shu.ac.uk/ research/meri/gmpr/projects/scanner.html

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