Abstract
We present a new disparity refinement algorithm that utilize color information of the reference image to generate sharp disparity maps. While existing methods use iterative approaches or require multiple disparity maps, the proposed algorithm uses a single pass approach to reduce errors at depth discontinuities. The experimental results are evaluated on the Middlebury benchmark dataset; show the effectiveness of the proposed algorithm.
Original language | English |
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Title of host publication | 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 |
Pages | 664-667 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Event | 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 - Singapore, Singapore Duration: 7 Dec 2010 → 10 Dec 2010 |
Publication series
Name | 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 |
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Conference
Conference | 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 |
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Country/Territory | Singapore |
City | Singapore |
Period | 7/12/10 → 10/12/10 |
Keywords
- Disparity refinement
- Stereo correspondence
- Window-based
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Systems Engineering
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Gupta, R. K., & Cho, S. Y. (2010). A color-based approach for disparity refinement. In 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 (pp. 664-667). Article 5707934 (11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010). https://doi.org/10.1109/ICARCV.2010.5707934