Analysis of measuring accuracy for planar and non-planar scenes in photogrammetry

Kai Guo; Hu Ye; Junhao Gu; Xin Gao

doi:10.1117/12.2680066

27 June 2023 Analysis of measuring accuracy for planar and non-planar scenes in photogrammetry

Kai Guo, Hu Ye, Junhao Gu, Xin Gao

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 1270533 (2023) https://doi.org/10.1117/12.2680066
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

Photogrammetry with stereo vision is widely used in computer vision and SLAM (simultaneous localization and mapping), whose key steps are calibration and intersection measurement. Calibration is to obtain the intrinsic and extrinsic parameters, including the principal point, focal length and pose. Intersection measurement is to obtain the 3D information after calibration, including position, velocity and rotation. In some cases, such as visual monitoring cameras (VMCs), photogrammetry uses large field of view, and has the characteristics of long distance from camera to target and wide measuring range, which increase the difficulty of calibration and is unable to place 3D control points arbitrarily. What's more, the distance from the target area to 3D control point area has a great influence on the measuring accuracy of intersection measurement. In this paper, we proposed a new method to place 3D control points, including planar and non-planar scenes and this method can distinguish the two scenes. Then the planar and non-planar methods can be used to calibrate in different cases respectively. In addition, we analyzed the layout of 3D control points to obtain relation between the measuring accuracy and the distance from the target area to 3D control point area. Experimental results show the longer the distance, the greater the measuring error in synthetic data and real images, and to improve the measuring accuracy, the 3D control points should be planar or non-planar strictly, not quasi-planar.

Citation Download Citation

Kai Guo, Hu Ye, Junhao Gu, and Xin Gao "Analysis of measuring accuracy for planar and non-planar scenes in photogrammetry", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 1270533 (27 June 2023); https://doi.org/10.1117/12.2680066

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KEYWORDS

3D acquisition

Calibration

Cameras

3D metrology

3D image processing

Photogrammetry

3D vision

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