计算机视觉
人工智能
单眼
计算机科学
景深
光学
极化(电化学)
视野
三维重建
物理
物理化学
化学
作者
Zhiqiang Liu,Xuan Luo,Yici Cai,Jihai Yan,Wenjun Wu,Guo Gao,Xiaopeng Shao
出处
期刊:Applied Optics
[The Optical Society]
日期:2023-07-11
卷期号:62 (21): 5627-5627
摘要
The traditional polarization three-dimensional (3D) imaging technology has limited applications in the field of vision because it can only obtain the relative depth information of the target. Based on the principle of polarization stereo vision, this study combines camera calibration with a monocular ranging model to achieve high-precision recovery of the target’s absolute depth information in multi-target scenes. Meanwhile, an adaptive camera intrinsic matrix prediction method is proposed to overcome changes in the camera intrinsic matrix caused by focusing on fuzzy targets outside the depth of field in multi-target scenes, thereby realizing monocular polarized 3D absolute depth reconstruction under dynamic focusing of targets at different depths. Experimental results indicate that the recovery error of monocular polarized 3D absolute depth information for the clear target is less than 10%, and the detail error is only 0.19 mm. Also, the precision of absolute depth reconstruction remains above 90% after dynamic focusing on the blurred target. The proposed monocular polarized 3D absolute depth reconstruction technology for multi-target scenes can broaden application scenarios of the polarization 3D imaging technology in the field of vision.
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