Abstract
By using binocular stereoscopic vision and planar images, this paper details the process of obtaining 3D information for interested objects and obtains the world and pixel coordinates of any point on the object. The main contents of this article are focus on camera calibration, image correction, stereo matching, and parallax extraction. Furthermore, various algorithms and implementation methods are studied and analyzed. Finally, by comparing correction and stereo matching algorithms, more effective correction algorithm and matching algorithm are achieved.
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References
DING Hong-wei, CHAI Ying, LI Kui-fang A fast binocular vision stereo matching algorithm [J]. Acta Optia Sinica, 2009, 29 (8).
Yue Ming, Qiuqi Ruan. Face Stereo Matching and Disparity Calculation in Binocular Vision System [C]. 2010 2nd International Conference on Industrial and Information Systems, 2010.
YANG Xing-fang, YOU Mei, GAO Feng, YANG Xin-gang, HAN Xu-sha.A new algorithm for corner detection of checkerboard image for camera calibration [J]. Chinese Journal of Scientific Instrument, 2011.
Zhang Zheng You. A Flexible Camera Calibration by Viewing a Plane from Unknown Orientations [A], ICCV99 [C], 1999.
Yang Xiaomei, three-dimensional image of the correction algorithm [D], Xi’an University of Technology, March 2010.
Zhang Huan, Amway, Zhang Qiang, etc. SGBM algorithm and BM algorithm analysis [J]. Surveying and mapping and spatial geographic information, 2016, 39 (10).
Jaco Hofmann, Jens Korinth, and Andreas Koch. A Scalable High-Performance Hardware Architecture for Real-Time Stereo Vision by Semi-Global Matching [C], 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016.
Heiko Hirschmuller. Accurate and Efficient Stereo Processing by Semi-Global Matching and mutual Information [M]. IEEE, 2005.
Acknowledgements
The work described in this paper was funded by The Project of Shaanxi Provincial Science and Technology Program (2014JM8351). And it was also funded by Fundamental Research Funds for the Central Universities of China (2013G1241109).
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Li, G., Song, H., Li, C. (2019). Matching Algorithm and Parallax Extraction Based on Binocular Stereo Vision. In: Panigrahi, B., Trivedi, M., Mishra, K., Tiwari, S., Singh, P. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 670. Springer, Singapore. https://doi.org/10.1007/978-981-10-8971-8_32
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DOI: https://doi.org/10.1007/978-981-10-8971-8_32
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