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| Multiple Regions Matching with Spin Images for 3D Face Recognition |
| Cheng Zhang, Yuzhang Gu, Keli Hu, Yingguan Wang |
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Abstract This paper presents a novel method for 3D face recognition under
expression and occlusion variations. It is based on the combination
of the matching results from matching multiple partial regions on
the 3D face. Spin image features are used for comparison between
faces. Meanwhile, an efficient approach is proposed to detect nose
tip and the nose tip determines the location of each candidate
region. To fuse the contribution of each region, score-based and
rank-based fusion scheme are performed and compared. The proposed
method is evaluated on the Bosphorus database and achieves good
results. It obtains 96.68\% recognition rate in the presence of
expression and occlusion variations.
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| DOI:10.12733/jics20104469 |
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