Author:
Shan Fu Qiang,Wang Feng,Zhang Hai Feng
Abstract
Abstract
Based on binocular vision, this paper proposes an algorithm for fast and accurate three-dimensional measurement. The binocular 3D measurement system is mainly divided into four parts: binocular calibration, binocular correction, binocular matching and pose calculation. In this paper, an international softwareM is used to achieve camera calibration, the FAST algorithm is used to achieve the extraction of feature points, and the matching method that combines gray-level correlation coefficient (cc) and epipolar constraint is selected. Experiments have verified that this algorithm can accurately achieve three-dimensional pose measurement.
Subject
General Physics and Astronomy
Reference6 articles.
1. An error reduction method of a binocular measurement system under vibrating conditions;Ge;Measurement Science and Technology,2020
2. Sensitivity analysis of the error factors in the binocular vision measurement system;Jin;Optical Engineering,2018
3. Corrected calibration algorithm with a fixed constraint relationship and an error compensation technique for a binocular vision measurement system;Ju;Applied optics,2018
4. Binocular visual pose measurement method for space non-cooperative targets;Shu;Chinese Journal of Optics,2020
5. Binocular vision positioning measurement method based on improved ORB algorithm;Yang;Journal of Sensing Technology,2019
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