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Proceedings Paper

An improved three-dimension reconstruction method based on guided filter and Delaunay
Author(s): Yilin Liu; Xiu Su; Haitao Liang; Huaiyuan Xu; Yi Wang; Xiaodong Chen
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Paper Abstract

Binocular stereo vision is becoming a research hotspot in the area of image processing. Based on traditional adaptive-weight stereo matching algorithm, we improve the cost volume by averaging the AD (Absolute Difference) of RGB color channels and adding x-derivative of the grayscale image to get the cost volume. Then we use guided filter in the cost aggregation step and weighted median filter for post-processing to address the edge problem. In order to get the location in real space, we combine the deep information with the camera calibration to project each pixel in 2D image to 3D coordinate matrix. We add the concept of projection to region-growing algorithm for surface reconstruction, its specific operation is to project all the points to a 2D plane through the normals of clouds and return the results back to 3D space according to these connection relationship among the points in 2D plane. During the triangulation in 2D plane, we use Delaunay algorithm because it has optimal quality of mesh. We configure OpenCV and pcl on Visual Studio for testing, and the experimental results show that the proposed algorithm have higher computational accuracy of disparity and can realize the details of the real mesh model.

Paper Details

Date Published: 12 January 2018
PDF: 9 pages
Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106201D (12 January 2018); doi: 10.1117/12.2295058
Show Author Affiliations
Yilin Liu, Tianjin Univ. (China)
Xiu Su, Tianjin Univ. (China)
Haitao Liang, Tianjin Univ. (China)
Huaiyuan Xu, Tianjin Univ. (China)
Yi Wang, Tianjin Univ. (China)
Xiaodong Chen, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 10620:
2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology
Guohai Situ; Xun Cao; Wolfgang Osten; Liquan Dong, Editor(s)

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