Research of Stereo Matching Based on HALCON

Abstract:

Binocular stereo matching is a hot and difficult problem in machine vision. In this paper, based on the matching method of Halcon which is visual software perform image matching. First, performing binocular stereo vision system calibration, based on the calibration results acquired the epipolar standard geometric structure. Then, image matching researched under this structure. At last, using ncc matching algorithm, through comparing the different parameters matching window obtain ideal match results. Experiments prove that this method not only can effectively shorten matching time, but also can achieve higher matching accuracy.

• Periodical: Applied Mechanics and Materials (Volume 415)
• Pages: 361-364
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.415.361
• Online since: September 2013
• Authors: Hui Yu Xiang, Zhe Li, Jia Jun Huang, Baoan Han
• Keywords: Binocular Stereo Vision, Disparity Map, HALCON, Image Matching

References

[1] Ma Songde, Zhang Zheng You . Computer vision: the computational theory and algorithm[M] Beijing: science press, 1998: (1998).

[2] Machine vision algorithm and application [M]. Yang Shaorong, Wu Dijing, Duan Deshan, translation. Beijing: tsinghua university press, 2008: 280.

[3] SangRuiJuan , An improved binocular stereo matching method [J] Sensor And Micro System 2012 (9) : 57.

[4] Si-Cong Yuan Research on image matching methods in binocular stereo vision [J] Computer Engineering and Applications 2008, 44(8).