Optimization of Stereo Matching in 3D Reconstruction Based on Binocular Vision

被引：4
|
作者：
Gai, Qiyang [1 ]
机构：
[1] Univ Elect Sci & Technol China, Glasgow Coll, Elect Informat Engn, Chengdu 611731, Sichuan, Peoples R China
来源：
2017 2ND INTERNATIONAL CONFERENCE ON COMMUNICATION, IMAGE AND SIGNAL PROCESSING (CCISP 2017) | 2018年 / 960卷
关键词：
D O I：
10.1088/1742-6596/960/1/012029
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Stereo matching is one of the key steps of 3D reconstruction based on binocular vision. In order to improve the convergence speed and accuracy in 3D reconstruction based on binocular vision, this paper adopts the combination method of polar constraint and ant colony algorithm. By using the line constraint to reduce the search range, an ant colony algorithm is used to optimize the stereo matching feature search function in the proposed search range. Through the establishment of the stereo matching optimization process analysis model of ant colony algorithm, the global optimization solution of stereo matching in 3D reconstruction based on binocular vision system is realized. The simulation results show that by the combining the advantage of polar constraint and ant colony algorithm, the stereo matching range of 3D reconstruction based on binocular vision is simplified, and the convergence speed and accuracy of this stereo matching process are improved.
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收藏
页数：7
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