光学学报, 2017, 37 (5): 0515004, 网络出版: 2017-05-05
基于双目单视面的三维重建 下载: 760次
3D Reconstruction Based on Horopter
机器视觉 双目视觉 三维重建 双目单视面 特征匹配 machine vision binocular vision three-dimensional reconstruction horopter feature matching
摘要
以双目立体视觉理论为基础, 采用基于模仿人眼的双目单视面所给出的规律, 设计出一套简单的三维重建算法。为了利用双目单视面的原理, 采用两个光轴交叉放置的相机来拍摄物体。对所得的两幅图片进行坐标转换, 将图像坐标转换为角度坐标, 然后在球坐标域进行特征匹配, 对得到的匹配点进行曲线拟合, 将拟合得到的点转换到空间域, 进而得到目标物体的三维模型。实验结果表明, 此匹配算法可以准确确定目标物体的位置, 而且此算法计算复杂度比较低, 后期的数据处理采用分段匹配的方式, 使得坐标转换以后得到的目标物体的三维模型相对准确且稠密。
Abstract
A simple three-dimensional (3D) reconstruction algorithm is designed based on the rule of horopter and the theory of binocular stereo vision. The optical axes of the two cameras to shoot the same object are cross-placed. The image pixel coordinates are changed into spherical coordinates. The feature points are matched in spherical coordinates domain and the precise points are gotten by curve fitting. Finally, we turn the points to space coordinates, and obtain the 3D model of the target object. Experimental results show that this matching algorithm can accurately determine the location of the target object, and it has low computing complexity. The data processing of the later stage adopts the method of piecewise fitting so that the points on the 3D model of the target object obtained after the coordinate transformation distribute accurately and densely.
王珊, 徐晓. 基于双目单视面的三维重建[J]. 光学学报, 2017, 37(5): 0515004. Wang Shan, Xu Xiao. 3D Reconstruction Based on Horopter[J]. Acta Optica Sinica, 2017, 37(5): 0515004.