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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2000508


3D face point cloud hole-filling algorithm based on binocular stereo matching and a B-spline


Author(s):  Yuan HUANG, Feipeng DA

Affiliation(s):  School of Automation, Southeast University, Nanjing 210096, China; more

Corresponding email(s):   whhbb@163.com

Key Words:  3D point cloud, Hole filling, Stereo matching, B-Spline


Yuan HUANG, Feipeng DA. 3D face point cloud hole-filling algorithm based on binocular stereo matching and a B-spline[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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author="Yuan HUANG, Feipeng DA",
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Abstract: 
When obtaining 3D face point cloud data based on structured light, factors related to the environment, occlusion, and illumination intensity lead to holes in the collected data, which affect subsequent recognition. This paper proposes a hole-repairing method based on stereo-matching technology combined with a b-Spline. The algorithm first uses phase information acquired during grating projection to locate holes in the point cloud, while simultaneously extracting boundary point cloud sets. By registering the face point cloud data using the stereo-matching algorithm and the data collected using the grating projection method, some supplementary information points can be obtained at the holes. Experiments using smooth ceramic cups and human face models showed that our model can accurately reproduce details and accurately restore complex shapes on the test surfaces. Experimental results on a ceramic cup and a human face indicate the robustness of the method, which is able to fill holes on complex areas such as the inner side of the nose without a prior model. This approach also effectively supplements the hole information, and the patched point cloud is closer to the original data. This method could be used across a wide range of applications requiring accurate facial recognition.

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