This paper proposes a practical method of microscale 3D shape capturing by a teleidoscopic imaging system. The main challenge in microscale 3D shape reconstruction is to capture the target from multiple viewpoints with a large enough depth-of-field. Our idea is to employ a teleidoscopic measurement system consisting of three planar mirrors and monocentric lens. The planar mirrors virtually define multiple viewpoints by multiple reflections, and the monocentric lens realizes a high magnification with less blurry and surround view even in closeup imaging. Our contributions include, a structured ray-pixel camera model which handles refractive and reflective projection rays efficiently, analytical evaluations of depth of field of our teleidoscopic imaging system, and a practical calibration algorithm of the teleidoscopic imaging system. Evaluations with real images prove the concept of our measurement system.
If you found this work useful, please consider citing us:
@InProceedings{Kawahara_2023_CVPR,
author = {Kawahara, Ryo and Kuo, Meng-Yu Jennifer and Nobuhara, Shohei},
title = {Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2023},
pages = {20813-20822}
}
}
This work is in part supported by JSPS KAKENHI JP22K17914.