光学学报, 2020, 40 (1): 0111019, 网络出版: 2020-01-06
基于相位映射的双目视觉缺失点云插补方法 下载: 1527次
Method for Interpolation of Missing Point Cloud Based on Phase Mapping in Binocular Vision
成像系统 双目视觉 匹配缺失 点云插补 相位 image systems binocular vision matching missing point cloud interpolation phase
摘要
利用单相机中已获得的可靠相位数据,提出一种双目视觉相位匹配中的视差孔洞数据插补方法。该方法在测量系统的标定阶段只需增加一个平面相位和高度数据作为参考,利用数据缺失区域周围有效像素点的三维点云,及相对于参考平面的相位和高度差建立隐式相位-高度映射关系,然后由单相机可靠相位数据实现孔洞区域的点云重建插补。对标准件进行缺失点云插补实验,重建精度为0.07 mm。对人脸面具和葫芦模型进行双目测量和孔洞插补实验,结果证明该方法可以很好地补全遮挡区域缺失的点云。
Abstract
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.
李承杭, 薛俊鹏, 郎威, 张启灿. 基于相位映射的双目视觉缺失点云插补方法[J]. 光学学报, 2020, 40(1): 0111019. 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.