3D reconstruction measurement method based on binocular vision

Jian Zhou; Jian Wu

doi:10.1117/12.2674448

28 April 2023 3D reconstruction measurement method based on binocular vision

Jian Zhou, Jian Wu

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126260K (2023) https://doi.org/10.1117/12.2674448
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

At present, the measurement of irregular workpiece is mainly carried out by coordinate measuring machine, but this kind of equipment is expensive and inconvenient to operate, and can’t be applied to soft objects. This paper proposed a 3D surface reconstruction method based on binocular vision to imitate the structure of human eyes, and then measured various sizes on the point cloud model. The reconstruction method based on binocular vision is fast, efficient and lowcost. Then, the 3D coordinates of the feature points in the world coordinate system are solved by the reprejectImgeTo3d function to generate the point cloud. The final point cloud model has rich surface texture information and can completely reflect the 3D size information of the object.

Citation Download Citation

Jian Zhou and Jian Wu "3D reconstruction measurement method based on binocular vision", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126260K (28 April 2023); https://doi.org/10.1117/12.2674448

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KEYWORDS

Cameras

3D modeling

Point clouds

Calibration

Imaging systems

Binocular vision

Matrices

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