吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (02): 446-450.

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3D face feature extraction based on extended 2D invariant moment

GUO Zhe, ZHANG Yan-ning, LIN Zeng-gang   

  1. School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
  • Received:2010-10-25 Online:2012-03-01 Published:2012-03-01

Abstract: A novel 3D face feature extraction method based on 2D extended strategy is proposed. Zernike Moment Invariants of multi-pose 3D face model, which have scale, translation and rotational invariance, are extracted after preprocessing and grid normalization of 3D face models. A suitable feature evaluation measure is then proposed based on the parameter space and is applied to the evaluation of Zernike Moment Invariants and depth feature. Experimental results based on multi-pose 3D face database show that the proposed method is robust to pose variant and has a separability.

Key words: computer application, 3D face feature extraction, Zernike moment invariants

CLC Number: 

  • TP391.4
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