3D Reconstruction Based on Horopter

被引：0

作者：

Wang, Shan ^{[1
]}

Xu, Xiao ^{[1
]}

机构：

[1] School of Physics and Optoelectronics, South China University of Technology, Guangzhou,Guangdong,510640, China

来源：

Guangxue Xuebao/Acta Optica Sinica | 2017年 / 37卷 / 05期

关键词：

Stereo vision - Binocular vision - Computer vision - Metadata - Data handling - Image reconstruction - Stereo image processing;

D O I：

10.3788/AOS201737.0515004

中图分类号：

学科分类号：

摘要：

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. © 2017, Chinese Lasers Press. All right reserved.

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