改进的物体表面重建的三角网格法

doi:10.3969/j.issn.0255-8297.2016.02.004

Journal of Applied Sciences ›› 2016, Vol. 34 ›› Issue (2): 145-153.doi: 10.3969/j.issn.0255-8297.2016.02.004

• Signal and Information Processing • Previous Articles Next Articles

Improved Triangle Mesh Method for Surface Reconstruction from Normal Field

FANG Qiao-yun¹, LÜ Dong-hui¹, SUN Jiu-ai²

1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China;
2. School of Medical Imaging, Shanghai University of Medical and Health Sciences, Shanghai 200093, China

Received:2015-10-29 Revised:2015-12-29 Online:2016-03-30 Published:2016-03-30

Abstract

Abstract: Photometric stereo is an important contactless method for obtaining object shape information. It is a key step in surface reconstruction based on surface normal field. By reviewing and analyzing existing methods, we find that performance of the triangle mesh method is unsatisfactory in local computation and vulnerable to noise. To improve reconstruction accuracy, an improved triangle mesh method with global constraints as used in the normal and tangent vector method is proposed. An object with Lambertian surface is used in the experiments to compare reconstruction accuracy and computing time of normal and tangent vector method, Poisson method, triangle mesh method and the improved triangle mesh method. The results show that Poisson method is computationally efficient, the improved triangle mesh method is better in reconstruction accuracy when the image does not contain noise, while the proposed triangle mesh method performs better both in reconstruction accuracy and noise resistance.

Key words: photometric stereo, triangle mesh method, normal field, noise robustness

CLC Number:

TP391

FANG Qiao-yun, LÜ Dong-hui, SUN Jiu-ai. Improved Triangle Mesh Method for Surface Reconstruction from Normal Field[J]. Journal of Applied Sciences, 2016, 34(2): 145-153.

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Improved Triangle Mesh Method for Surface Reconstruction from Normal Field

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