Research on spatial object ranging algorithm based on binocular vision

Xinyuan Li

doi:10.1117/12.3048415

3 October 2024 Research on spatial object ranging algorithm based on binocular vision

Xinyuan Li

Proceedings Volume 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024); 1327218 (2024) https://doi.org/10.1117/12.3048415
Event: 5th International Conference on Computer Vision and Data Mining (ICCVDM 2024), 2024, Changchun, China

Abstract

Binocular stereo vision can perceive the stereo information of three-dimensional scenes under various conditions. Distance measurement based on binocular stereo vision plays an increasingly important role in distance measurement due to its unique advantages. The key technologies such as the principle of binocular distance measurement, camera calibration, stereo correction, and stereo matching are studied. The binocular vision information system is used to realize the ranging of stationary objects in 3D space. The main construction of the experimental model and the SGBM algorithm are used to realize the image matching operation when the object generates the disparity map, and the experimental results prove that the proposed algorithm can effectively measure the object size and the distance between the object and the camera optical center, and accurately measure the 3D position of the object at the same time. In addition, point cloud information can be generated for reference image 3D reconstruction.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinyuan Li "Research on spatial object ranging algorithm based on binocular vision", Proc. SPIE 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024), 1327218 (3 October 2024); https://doi.org/10.1117/12.3048415

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