Title :
Three-dimensional kaleidoscopic imaging
Author :
Reshetouski, Ilya ; Manakov, Alkhazur ; Seidel, Hans-Peter ; Ihrke, Ivo
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.
Keywords :
cameras; colorimetry; image colour analysis; image reconstruction; image sensors; colorimetric properties; kaleidoscopic mirror system; multicamera system; multiview algorithms; multiview imagery; multiview reconstruction techniques; radiometric properties; three-dimensional kaleidoscopic imaging; Calibration; Cameras; Geometry; Labeling; Mirrors; Visualization;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
Conference_Location :
Providence, RI
Print_ISBN :
978-1-4577-0394-2
DOI :
10.1109/CVPR.2011.5995579