Acta Optica Sinica, Volume. 40, Issue 1, 0111019(2020)
Method for Interpolation of Missing Point Cloud Based on Phase Mapping in Binocular Vision
In this study, we propose a method to interpolate missing data that can be attributed to a disparity hole in binocular vision phase matching based on the reliable phase data obtained using a single camera. In the calibration stage, the measurement system only needs to consider the plane phase and height data as reference. Further, the implicit phase-height mapping relation can be established based on the phase and height difference observed with respect to the effective three-dimensional point clouds around the area of the hole and the reference plane, and the missing point clouds are reconstructed and interpolated using the reliable phase data obtained using a single camera. The interpolation of the missing point cloud data of a standard sample denotes a reconstruction accuracy of 0.07 mm. Furthermore, binocular measurement and hole interpolation are conducted using a facial mask and gourd model, and the results denote that the proposed method can appropriately interpolate the missing point cloud data in the occluded areas.
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Chenghang Li, Junpeng Xue, Wei Lang, Qican Zhang. Method for Interpolation of Missing Point Cloud Based on Phase Mapping in Binocular Vision[J]. Acta Optica Sinica, 2020, 40(1): 0111019
Category: Special Issue on Computational Optical Imaging
Received: Jul. 29, 2019
Accepted: Sep. 4, 2019
Published Online: Jan. 6, 2020
The Author Email: Zhang Qican (zqc@scu.edu.cn)