Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction

Ryo Kawahara, M. Kuo, S. Nobuhara
2/14/2026

No confident code implementation found for this paper.

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

DOISemantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{kawahara2026teleidoscopic,
  title  = {Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction},
  author = {Ryo Kawahara and M. Kuo and S. Nobuhara},
  year   = {2026},
  doi    = {10.1109/CVPR52729.2023.01994},
  url    = {https://doi.org/10.1109/CVPR52729.2023.01994},
  journal = {CVPR 2023 2023}
}

Discussion