Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 3
932-936

3D face reconstruction algorithm based on region growth in binocular vision

Xia Yinga,b
Gai Shaoyana,b
Da Feipenga,b
a. School of Automation, b. Key Laboratory of Measurement & Control of Complex Systems of Engineering of Ministry of Education, Southeast University, Nanjing 210096, China
DOI: 10.19734/j.issn.1001-3695.2020.01.0022

Abstract

To address the problem of mismatches produced by traditional stereo matching algorithms when matching low-texture face images, this paper proposed a face stereo matching algorithm based on region growing. This algorithm used the facial feature points extracted by the ensemble of regression trees to divide the face into different regions and limited the disparity search range of different regions, thereby avoided finding matching points on the global scale. Meanwhile, it used the local shape characteristics of the face and the local surface fitting to filter out mismatched seed points and generate a large number of reliable seed points for region growing. Finally, this paper performed qualitative and quantitative experiments on face images acquired in laboratory environment and the FRGC v2.0 face database respectively. Experimental results show that compared with the traditional algorithm, the improved algorithm can reconstruct a more accurate 3D face model, the root mean square error is within 2 mm after the point cloud registration. In addition, the reconstructions of face images under different lighting, poses and expressions show that the improved stereo matching algorithm has better robustness.

Foundation Support

国家自然科学基金资助项目(51475092)
深圳市知识创新计划基础研究项目(JCYJ20180306174455080)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.01.0022
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 3
Section: Technology of Graphic & Image
Pages: 932-936
Serial Number: 1001-3695(2021)03-057-0932-05

Publish History

[2021-03-05] Printed Article

Cite This Article

夏颖, 盖绍彦, 达飞鹏. 双目视觉下基于区域生长的三维人脸重建算法 [J]. 计算机应用研究, 2021, 38 (3): 932-936. (Xia Ying, Gai Shaoyan, Da Feipeng. 3D face reconstruction algorithm based on region growth in binocular vision [J]. Application Research of Computers, 2021, 38 (3): 932-936. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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