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3D face recognition algorithm based on nose tip contour and radial curve

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Abstract

Human expression variations will cause non-rigid deformation of face scans, this is a challenge in face recognition research. Many rigid registration methods can not achieve good results in dealing with this problem. In this article, a novel method to avoid the influence of non rigid deformation on face recognition which uses radial curve and geodesic contour as features for matching is proposed. It can also reduce data size and speed up calculation. Shape analysis algorithm is also introduced to calculate geodesic distance of corresponding 3D curve of the simplified face as the basis of classification. Experimental results show its high efficiency.

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Acknowledgments

This work was supported by Shenzhen Science and Technology Plan Fundamental Research Funding JCYJ20180507183527919 and Shenzhen Foundational Research Funding JCYJ20180306171938767.

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Authors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Linlin Tang, Zhangyan Li, Yang Liu, Shuhan Qi, Jiajia Zhang, Jiancheng Pan & Shuaijie Shi

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  1. Linlin Tang
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  2. Zhangyan Li
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  3. Yang Liu
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  5. Jiajia Zhang
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  6. Jiancheng Pan
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  7. Shuaijie Shi
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Correspondence to Linlin Tang.

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Tang, L., Li, Z., Liu, Y. et al. 3D face recognition algorithm based on nose tip contour and radial curve. Multimed Tools Appl 81, 23889–23912 (2022). https://doi.org/10.1007/s11042-022-12730-5

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  • DOI: https://doi.org/10.1007/s11042-022-12730-5

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