Abstract
This paper presents a detailed description of a real-time correlation-based stereo algorithm running completely on the graphics processing unit (GPU). This is important since it allows to free up the main processor for other tasks including high-level interpretation of the stereo results. We first introduce a two-view stereo algorithm that includes some advanced features such as adaptive windows and cross-checking. Then we extend it using a plane-sweep approach to allow multiple frames without rectification. By taking advantage of advanced features of recent GPUs the proposed algorithm runs in real-time. Our implementation running on an ATI Radeon 9800 graphics card achieves up to 289 million disparity evaluations per second including all the overhead to download images and read-back the disparity map, which is several times faster than commercially available CPU-based implementations.
| Original language | English |
|---|---|
| Pages (from-to) | 7-18 |
| Number of pages | 12 |
| Journal | Real-Time Imaging |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2005 |
Bibliographical note
Funding Information:The authors would like to thank ATI and NVIDIA for their generous hardware donations and technical support. The work is supported in part by NSF grant IIS-0313047, IIS-0448185, and the office of research at the University of Kentucky.
Funding
The authors would like to thank ATI and NVIDIA for their generous hardware donations and technical support. The work is supported in part by NSF grant IIS-0313047, IIS-0448185, and the office of research at the University of Kentucky.
| Funders | Funder number |
|---|---|
| National Science Foundation (NSF) | IIS-0448185, IIS-0313047 |
| University of Kentucky |
ASJC Scopus subject areas
- Signal Processing
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering