A Low Cost 3D Skin Wrinkle Reconstruction System Based on Stereo Semi-Dense Matching


Qian Zhang, Taeg-Keun WhangBo, Journal of Information Processing Systems Vol. 10, No. 4, pp. 25-34, Aug. 2009  


Keywords: 3D reconstruction, Skin Wrinkle, Semi-dense matching, Image rectification, light compensation
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Abstract

In the paper, we proposed a new system to retrieve 3D wrinkle data based on stereo images. Usually, 3D reconstruction based on stereo images or video is very popular and it is the research focus, which has been applied for culture heritage, building and other scene. The target is object measurement, the scene depth calculation and 3D data obtained. There are several challenges in our research. First, it is hard to take the full information wrinkle images by cameras because of light influence, skin with non-rigid object and camera performance. We design a particular computer vision system to take winkle images with a long length camera lens. Second, it is difficult to get the dense stereo data because of the hard skin texture image segmentation and corner detection. We focus on semi-dense stereo matching algorithm for the wrinkle depth. Compared with the 3D scanner, our system is much cheaper and compared with the physical modeling based method, our system is more flexible with high performance.


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Cite this article
[APA Style]
Zhang, Q. & WhangBo, T. (2009). A Low Cost 3D Skin Wrinkle Reconstruction System Based on Stereo Semi-Dense Matching. Journal of Internet Computing and Services, 10(4), 25-34.

[IEEE Style]
Q. Zhang and T. WhangBo, "A Low Cost 3D Skin Wrinkle Reconstruction System Based on Stereo Semi-Dense Matching," Journal of Internet Computing and Services, vol. 10, no. 4, pp. 25-34, 2009.

[ACM Style]
Qian Zhang and Taeg-Keun WhangBo. 2009. A Low Cost 3D Skin Wrinkle Reconstruction System Based on Stereo Semi-Dense Matching. Journal of Internet Computing and Services, 10, 4, (2009), 25-34.