Paper
27 March 2022 Inter- frame feature matching for underwater 3D gated range-intensity correlation imaging
Author Affiliations +
Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 12169CK (2022) https://doi.org/10.1117/12.2627316
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
Gated range-intensity correlation 3D imaging is a fast high-resolution 3D imaging technology based on range-gated imaging, and has great potential in underwater imaging, marine life detection and topographic mapping. Pixel gray information between different frame-type 2D images is used to obtain 3D image and distance information. However, for moving platforms (such as underwater vehicles), and moving targets (such as zooplankton, fish, etc.), relative motion will cause two frames of images to be misaligned, eventually leading to failure of 3D inversion. To solve the problem, the inter-frame feature matching for underwater 3D gated range-intensity correlation imaging method is proposed. Feature pairs are matched by the bi-directional feature matching, and mean value of the feature-pair coordinate differences is optimized, the method can solve feature point-to-coordinate deviation caused by water body noise, and improve the robustness of feature point matching. Experimental verification on pools and lakes shows that the proposed method is effective and can realize three-dimensional imaging of relative moving targets.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Liang Sun, Xinwei Wang, and Yan Zhou "Inter- frame feature matching for underwater 3D gated range-intensity correlation imaging", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 12169CK (27 March 2022); https://doi.org/10.1117/12.2627316
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KEYWORDS
3D image processing

3D acquisition

Gated imaging

Image processing

Stereoscopy

Detection and tracking algorithms

Imaging systems

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