Three-Dimensional Kaleidoscopic Imaging
Abstract
We introduce three-dimensional kaleidoscopic imaging, a promising alternative for recording multi-view imagery. The main limitation of multi-view reconstruction techniques is the limited number of views that are available from multi-camera systems, especially for dynamic scenes. Our new system is based on imaging an object inside a kaleidoscopic mirror system. We show that this approach can generate a large number of high-quality views well distributed over the hemisphere surrounding the object in a single shot. In comparison to existing multi-view systems, our method offers a number of advantages: it is possible to operate with a single camera, the individual views are perfectly synchronized, and they have the same radiometric and colorimetric properties. We describe the setup both theoretically, and provide methods for a practical implementation. Enabling interfacing to standard multi-view algorithms for further processing is an important goal of our techniques.
Cite
Text
Reshetouski et al. "Three-Dimensional Kaleidoscopic Imaging." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011. doi:10.1109/CVPR.2011.5995579Markdown
[Reshetouski et al. "Three-Dimensional Kaleidoscopic Imaging." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011.](https://mlanthology.org/cvpr/2011/reshetouski2011cvpr-three/) doi:10.1109/CVPR.2011.5995579BibTeX
@inproceedings{reshetouski2011cvpr-three,
title = {{Three-Dimensional Kaleidoscopic Imaging}},
author = {Reshetouski, Ilya and Manakov, Alkhazur and Seidel, Hans-Peter and Ihrke, Ivo},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2011},
pages = {353-360},
doi = {10.1109/CVPR.2011.5995579},
url = {https://mlanthology.org/cvpr/2011/reshetouski2011cvpr-three/}
}