Photon counting 3D imaging lidar adaptive target contours acquiring method

Jimin Tang; Weiji He; Guohua Gu; Qian Chen

doi:10.1117/12.2503069

9 August 2018 Photon counting 3D imaging lidar adaptive target contours acquiring method

Jimin Tang, Weiji He, Guohua Gu, Qian Chen

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108063M (2018) https://doi.org/10.1117/12.2503069
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

The traditional scanning method of photon counting three-dimensional (3D) imaging is point-by-point sampling. According to the quadtree block method, an adaptive contour extraction method used in 3D time-concerned-single-photon-counting (TCSPC) lidar is proposed. The adaption of method is showing as followed. When an unknown target area is sampled, the size of scanning step varies according to the surface continuity of the target area. The scanning method applied in this paper scans the unknown target area with non-uniform steps and then reconstructs the target image according to the difference of surface continuity. The experimental results show that the sampling method in this paper can effectively reduce the number of samples in the unknown target area while ensuring the details of the target contour, thus improving the imaging efficiency.

Citation Download Citation

Jimin Tang, Weiji He, Guohua Gu, and Qian Chen "Photon counting 3D imaging lidar adaptive target contours acquiring method", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108063M (9 August 2018); https://doi.org/10.1117/12.2503069

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KEYWORDS

LIDAR

3D acquisition

Photon counting

Image processing

Image resolution

3D image processing

Stereoscopy

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