Abstract
Recent cost-volume filtering-based local stereo methods have achieved comparable accuracy with global methods. However, there are still some significant outliers existing in the final disparity map. In this paper, we propose a cost-volume filtering-based local stereo matching method that employs a new combined cost and a novel secondary disparity refinement mechanism. The combined cost is formulated by a modified color census transform, truncated absolute differences of color and gradients. Symmetric guided filter is used for the cost aggregation. Different from traditional stereo matching, a novel secondary disparity refinement is proposed to further remove remaining outliers. Experimental results on Mid-dlebury benchmark show that our method ranks the 5th out of the 144 submitted methods, and is the best cost-volume filtering-based local method. Furthermore, experiments on real world sequences also validate the effectiveness of our proposed method.
| Original language | English |
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| Title of host publication | 2014 IEEE International Conference on Multimedia and Expo (ICME) |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479947614 |
| DOIs | |
| Publication status | Published - 8 Sept 2014 |
| Event | 2014 IEEE International Conference on Multimedia and Expo, ICME 2014 - Chengdu, China Duration: 14 Jul 2014 → 18 Jul 2014 |
Publication series
| Name | Proceedings - IEEE International Conference on Multimedia and Expo |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 1945-7871 |
| ISSN (Electronic) | 1945-788X |
Conference
| Conference | 2014 IEEE International Conference on Multimedia and Expo, ICME 2014 |
|---|---|
| Country/Territory | China |
| City | Chengdu |
| Period | 14/07/14 → 18/07/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- cost-volume filtering
- disparity refinement
- Local stereo
- matching cost
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications