Integrating multiple depth sensors into the virtual video camera
In this ongoing work, we present our efforts to incorporate Microsoft Kinect depth sensors into a multi camera system for free view-point video. Both the video cameras and the depth sensors are consumer grade. Our free-viewpoint system, the Virtual Video Camera, uses image-based rendering to create novel views between widely spaced (up to 15 degrees) cameras, using dense image correspondences. The introduction of multiple depth sensors into the system allows us to obtain approximate depth information for many pixels, thereby providing a valuable hint for estimating pixel correspondences between cameras.
| Author(s): | Kai Ruhl, Kai Berger, Christian Lipski, Felix Klose, Yannic Schröder, Alexander Scholz, Marcus Magnor |
|---|---|
| Published: | August 2011 |
| Type: | Article in conference proceedings |
| Book: | Proc. SIGGRAPH (ACM) |
| Presented at: | SIGGRAPH |
| Note: | SIGGRAPH '11: ACM SIGGRAPH 2011 Posters |
| Project(s): | Multiple Kinect Studies Who Cares? Virtual Video Camera Reality CG |
@inproceedings{ruhl2011siggraph,
title = {Integrating multiple depth sensors into the virtual video camera},
author = {Ruhl, Kai and Berger, Kai and Lipski, Christian and Klose, Felix and Schr{\"o}der, Yannic and Scholz, Alexander and Magnor, Marcus},
booktitle = {Proc. {SIGGRAPH}},
organization = {{ACM}},
note = {{SIGGRAPH} '11: {ACM} {SIGGRAPH} 2011 Posters},
pages = {1},
month = {Aug},
year = {2011}
}
Authors
-
Kai Ruhl
Fmr. Researcher -
Kai Berger
Fmr. Researcher -
Christian Lipski
Fmr. Senior Researcher -
Felix Klose
Fmr. Researcher -
Yannic Schröder
Fmr. Student -
Alexander Scholz
Fmr. Student -
Marcus Magnor
Director, Chair