Point cloud registration method based on reliable optimal transport
Image Processing|更新时间:2023-07-27
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Point cloud registration method based on reliable optimal transport
“In the field of computer vision, researchers have proposed a registration method based on reliable optimal transmission, which effectively improves the registration accuracy and efficiency in low overlap scenes. Through keypoint feature matching, sampling consistency algorithm, and dynamic adjustment of transmission calculation, the experimental results show that the registration accuracy is improved by more than 30%, and the running time is reduced by more than 25%.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 7, Pages: 961-970(2024)
作者机构:
1.武汉科技大学 冶金自动化与检测技术教育部工程研究中心, 湖北 武汉 430081
2.武汉科技大学 信息科学与工程学院, 湖北 武汉 430081
作者简介:
基金信息:
National Natural Science Foundation of China(51774219);Science and Technology Research Project of Hubei Provincial Education Department(B2020012)
ZHAO Yuntao, HUANG Jie, LI Weigang. Point cloud registration method based on reliable optimal transport[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 961-970.
DOI:
ZHAO Yuntao, HUANG Jie, LI Weigang. Point cloud registration method based on reliable optimal transport[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 961-970. DOI: 10.37188/CJLCD.2023-0221.
Point cloud registration method based on reliable optimal transport