Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13407
Title: Invariant descriptor for multi-view 3D facial surface
Authors: Guo, Z
Zhang, Y
Xia, Y
Lin, Z
Feng, D
Keywords: Multiview 3D face
Surface invariant descriptor
Issue Date: 2009
Publisher: IEEE
Source: 2nd IEEE International Conference on Broadband Network & Multimedia Technology, 2009 : IC-BNMT '09, 18-20 October 2009, Beijing, p. 509-512 How to cite?
Abstract: This paper proposed an approach to extraction of invariant surface descriptor for multi-view 3D face models. In this approach, 3D facial data were first normalized to the same location, scale and orientation. The normalized faces were then cropped to highlight the most significant region. Within this region, six 3D invariant moments were finally calculated and defined as a descriptor. The proposed invariant descriptor has been compared to the descriptor presented by Xu et al. on the Face Recognition Grand Challenge (FRGC, version 2.0) database. The results demonstrated that our descriptor has higher invariance and better differentiation ability, and therefore can be applied to identification and authentication of multi-view 3D face models.
URI: http://hdl.handle.net/10397/13407
ISBN: 978-1-4244-4590-5
978-1-4244-4591-2 (E-ISBN)
DOI: 10.1109/ICBNMT.2009.5348539
Appears in Collections:Conference Paper

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