Article
Version 1
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Camouflage Breaking with Stereo-vision Assisted Imaging
Version 1
: Received: 17 July 2024 / Approved: 17 July 2024 / Online: 18 July 2024 (14:46:17 CEST)
How to cite: Yao, H.; Chen, L.; Lin, J.; Liu, Y.; Zhou, J. Camouflage Breaking with Stereo-vision Assisted Imaging. Preprints 2024, 2024071433. https://doi.org/10.20944/preprints202407.1433.v1 Yao, H.; Chen, L.; Lin, J.; Liu, Y.; Zhou, J. Camouflage Breaking with Stereo-vision Assisted Imaging. Preprints 2024, 2024071433. https://doi.org/10.20944/preprints202407.1433.v1
Abstract
Camouflage is a natural or artificially process to prevent an object from being detected while camouflage breaking is a countering process for the identification of the concealed object. We report that a perfectly camouflaged object in a two-dimensional scene can be retrieved and detected with stereo-vision assisted three-dimensional (3D) imaging perceived with stereopsis. The analysis is based on binocular energy model applied to general 3D settings. We show that a perfectly concealed object with random noise background can be retrieved with vision’s stereoacuity to resolve the hidden structures. The theoretical analysis is further tested and demonstrated with distant natural images taken by a drone-camera, processed with a computer and displayed in an autostereoscopy. The recovered imaging is presented with removal of the background interference to demonstrate the general applicability for camouflage breaking with stereo imaging and sensing.
Keywords
camouflage breaking; binocular energy model; stereo-vision assisted 3D imaging
Subject
Physical Sciences, Optics and Photonics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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