Abstract
A Dynamic Programming (DP) based algorithm that achieves real-time, high quality stereo-matching is presented. A special coarse to fine approach as well as the MMX based assembler implementation mainly contribute to the reached computation speed. A novel vertical smoothing approach by re-integrating paths inside the DP matching allows the avoidance of noisy horizontal strokes, so that high quality stereo-matching is achieved. The current implementation capable of running at about 30 FPS on an 2.2GHz PC, which is sufficient for the utilization in real-time applications.
| Original language | English |
|---|---|
| Title of host publication | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
| Publisher | IEEE Computer Society |
| Volume | 2004-January |
| Edition | January |
| DOIs | |
| Publication status | Published - 2004 |
| Event | 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004 - Washington, United States Duration: 2004 Jun 27 → 2004 Jul 2 |
Other
| Other | 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2004 |
|---|---|
| Country | United States |
| City | Washington |
| Period | 04/6/27 → 04/7/2 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
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Cite this
Forstmann, S., Kanou, Y., Ohya, J., Thuering, S., & Schmitt, A. (2004). Real-time stereo by using dynamic programming. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (January ed., Vol. 2004-January). [1384820] IEEE Computer Society. https://doi.org/10.1109/CVPR.2004.428