Journal Article10.1016/J.IJLEO.2017.03.018
Segmentation-based stereo matching using combinatorial similarity measurement and adaptive support region
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TL;DR: An accurate segmentation-based algorithm using combinatorial similarity measurement and adaptive support aggregation strategy is developed for stereo matching which based on a segmentation framework is generating disparity map in textureless regions correctly and localize depth boundaries precisely.
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About: This article is published in Optik. The article was published on 01 May 2017. The article focuses on the topics: Similarity (network science) & Segmentation.
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Citations
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Near-real-time stereo matching method using both cross-based support regions in stereo views
Sang Yoon Lee,Hyunki Hong +1 more
TL;DR: A near-real-time stereo matching method using both cross-based support regions in stereo views and an intersection support region, which is used as an adaptive matching window.
4
An efficient stereo matching based on superpixel segmentation
Haichao Li,Ke Han +1 more
- 18 Nov 2019
TL;DR: Experimental results demonstrate that the computational speed of the new semi-global matching method is several times faster than that of the original method, as well as offering a more accurate disparity map.
2
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