Li Xuan, Liu Zhiqiang, Cai Yudong, Yan Jinke, Wu Wenxin, Guo Gao, Shao Xiaopeng
Appl Opt. 2023 Jul 20;62(21):5627-5635. doi: 10.1364/AO.490003.
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.
传统的偏振三维（3D）成像技术在视觉领域的应用有限，因为它只能获取目标的相对深度信息。基于偏振立体视觉原理，本研究将相机标定与单目测距模型相结合，以在多目标场景中实现目标绝对深度信息的高精度恢复。同时，提出了一种自适应相机内参矩阵预测方法，以克服多目标场景中因聚焦于景深之外的模糊目标而导致的相机内参矩阵变化，从而在不同深度目标的动态聚焦下实现单目偏振3D绝对深度重建。实验结果表明，清晰目标的单目偏振3D绝对深度信息恢复误差小于10%，细节误差仅为0.19毫米。此外，对模糊目标进行动态聚焦后，绝对深度重建精度仍保持在90%以上。所提出的多目标场景单目偏振3D绝对深度重建技术可以拓宽偏振3D成像技术在视觉领域的应用场景。
