Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction

Abstract

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 teleidoscppic imaging system. Evaluations with real images prove the concept of our measurement system.

Cite

Text

Kawahara et al. "Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction." Conference on Computer Vision and Pattern Recognition, 2023. doi:10.1109/CVPR52729.2023.01994

Markdown

[Kawahara et al. "Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction." Conference on Computer Vision and Pattern Recognition, 2023.](https://mlanthology.org/cvpr/2023/kawahara2023cvpr-teleidoscopic/) doi:10.1109/CVPR52729.2023.01994

BibTeX

@inproceedings{kawahara2023cvpr-teleidoscopic,
  title     = {{Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction}},
  author    = {Kawahara, Ryo and Kuo, Meng-Yu Jennifer and Nobuhara, Shohei},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2023},
  pages     = {20813-20822},
  doi       = {10.1109/CVPR52729.2023.01994},
  url       = {https://mlanthology.org/cvpr/2023/kawahara2023cvpr-teleidoscopic/}
}