Improved Adaptive Support-weight Algorithm Based on Guide filtering and Disparity calibration
Xiao JingWen, Wan Min, Wu Yao
Available Online March 2015.
- https://doi.org/10.2991/is3c-15.2015.4How to use a DOI?
- Binocular vision system; Stereo matching; Adaptive support-weight; Guided filtering; Disparity calibration
- A novel local stereo matching method based on guided filtering and disparity calibration was presented in this paper. Firstly, the three dimensional cost volume was built by computing initial matching costs at given disparity values, and it was enhanced with guided filtering to preserve edge information effectively and improve operational efficiency; secondly, a disparity calibration approach was designed to refine the initial disparity, so the matching accuracy can be further improved. Experimental results on Middlebury dataset demonstrate that this proposed technique can obtain accurate and dense disparity map while eliminating effectively matching ambiguity, without affecting the running speed.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiao JingWen AU - Wan Min AU - Wu Yao PY - 2015/03 DA - 2015/03 TI - Improved Adaptive Support-weight Algorithm Based on Guide filtering and Disparity calibration BT - International Seminar on Computation, Communication and Control (IS3C-15) PB - Atlantis Press SP - 15 EP - 18 SN - 2352-538X UR - https://doi.org/10.2991/is3c-15.2015.4 DO - https://doi.org/10.2991/is3c-15.2015.4 ID - JingWen2015/03 ER -