• Home
  • Publications
  • Projects
    • Three-Dimensional Kaleidoscopic Imaging
  • Academic activities
  • CV

Three-Dimensional Kaleidoscopic Imaging

Ilya Reshetouski, Alkhazur Manakov, Hans-Peter Seidel, and Ivo Ihrke
CVPR 2011 (oral)

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.


Example of the labeling process


Files

Paper [pdf (19.0 MB)]
Supplemental materials [pdf (27.9 MB)]
Presentation [ppt (19.9 MB)]
Labeling data example (with MatLab loader) [zip (24.1 MB)]
Labeling of the dynamic scene example: Input movie [mpg (6.2 MB)], Segmentation movie [mpg (41.9 MB)], Labeling movie [mpg (11.3 MB)]

BibTeX

@inproceedings{Reshetouski11:TKI,
author = {Ilya Reshetouski and Alkhazur Manakov and Hans-Peter Seidel and Ivo Ihrke},
title = {Three-Dimensional Kaleidoscopic Imaging},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = 2011,
pages = {353--360},
}