Spatial location measurements of point target based on ultra-sparse image

Jidong Liu; Haibin Zhu; Qinwei Ma; Shaopeng Ma

doi:10.1117/12.2506630

18 January 2019 Spatial location measurements of point target based on ultra-sparse image

Jidong Liu, Haibin Zhu, Qinwei Ma, Shaopeng Ma

Proceedings Volume 10839, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment; 108391H (2019) https://doi.org/10.1117/12.2506630
Event: Ninth International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT2018), 2018, Chengdu, China

Abstract

Most visual measurement systems obtain the position of a point target in 3-dimensional (3D) space by analyzing 2- dimensional (2D) images. However, due to the large size of image data, the traditional visual measurement systems based on area-array cameras are difficult to measure high-speed movement of point targets. In this paper, a point target measurement method based on ultra-sparse images and linear targets is proposed. The designed linear target is arranged near the point target, and the ultra-sparse images contain linear target information are extracted a few columns with a multi-region of interest (ROI) area camera, then the coordinates of the point target in the 2D image can be solved from the ultra-sparse image, and the measurement of the spatial position of the point can be achieved. The data size of ultrasparse image is small. Thus, the data acquisition speed of the visual measurement system can be greatly promoted. In this paper, two types of linear targets are designed, and the related principle is presented. The correctness of the methods is verified using actual experiments. At the same time, the measurement accuracy of the method is compared with the traditional method.

Citation Download Citation

Jidong Liu, Haibin Zhu, Qinwei Ma, and Shaopeng Ma "Spatial location measurements of point target based on ultra-sparse image", Proc. SPIE 10839, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 108391H (18 January 2019); https://doi.org/10.1117/12.2506630

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KEYWORDS

Cameras

Imaging systems

Visualization

3D acquisition

Data acquisition

Target acquisition

Vibrometry

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