Three-Dimensional Surface Reconstruction Based on Binocular Vision

被引：0
|
作者：
Zeng Chao [1 ]
Luo Wei [2 ]
Shao Hongwei [2 ]
Lu Hong [1 ]
机构：
[1] Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan, Hubei, Peoples R China
[2] China Ship Dev & Design Ctr, Dept Integrated Logist Support, Wuhan, Hubei, Peoples R China
来源：
2017 2ND INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION ENGINEERING (ICRAE) | 2017年
基金：
中国国家自然科学基金;
关键词：
three-dimensional reconstruction; the non-linear optimization algorithm; gray-scale histogram matching; the NCC matching algorithm; binocular vision;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Three-dimensional reconstruction is an important application aspect of machine vision. The relevant method is proposed to complete the three-dimensional reconstruction of the target object in this paper. Firstly, the non-linear optimization algorithm is proposed to calibrate the vision system whose the parameters are used to correct the target object. Secondly, the target object is extracted based on the combination of gray-scale segmentation and feature segmentation. Then, gray-scale histogram matching is added to improve accuracy of the normalized cross correlation (NCC) matching algorithm. Finally, the three-dimensional coordinate of target object is calculated. The suitable camera and lens are selected and a binocular vision platform is built to verify the feasibility of the proposed algorithm by experiments.
引用
收藏
页码：389 / 393
页数：5
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