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https://ieeexplore.ieee.org/document/6115981/
Nov 09, 2011 · Virtual support window for adaptive-weight stereo matching Abstract: It attracts many researchers' attention to find a stereo matching algorithm both accurate and fast. Yoon and Kweon's Adaptive Support-Weight(ASW) method is supposed to be a very successful algorithm in both accuracy and speed. ... In this paper, we present a stereo matching ...
https://www.spiedigitallibrary.org/journals/Optical-Engineering/volume-52/issue-2/027201/Stereo-matching-algorithm-based-on-illumination-normal-similarity-and-adaptive/10.1117/1.OE.52.2.027201.full
1 February 2013 Stereo matching algorithm based on illumination normal similarity and adaptive support weight. Kai Gao; ... “Local stereo matching with adaptive support-weight, rank transform and disparity calibration,” Pattern Recogn. ... 12. W. Huet al., “Virtual support window for adaptive-weight stereo matching,” in Vis. Commun ...Cited by: 5
http://psrg.unl.edu/UploadedFiles/A-Local-Iterative-Refinement-Method-for-Adaptive-Support-Weight-Stereo-Matching-15.pdf
A Local Iterative Refinement Method for Adaptive Support-Weight Stereo Matching Eric T. Psota, Jedrzej˛ Kowalczuk, Jay Carlson, and Lance C. Pérez Department of Electrical Engineering, University of Nebraska, Lincoln, NE, U.S.A. Abstract—A new stereo matching algorithm is introduced that performs iterative refinement on the results of adap-
http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1287&context=electricalengineeringfacpub
The proposed temporal stereo matching algorithm is an extension of the real-time iterative adaptive support-weight algorithm described in [3]. In addition to real-time two-pass aggregation of the cost values in the spatial domain, the proposed algorithm enhances stereo matching on video sequences by aggregating costs along the time dimension.
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006115981
It attracts many researchers' attention to find a stereo matching algorithm both accurate and fast. Yoon and Kweon's Adaptive Support-Weight(ASW) method is supposed to be a very successful algorithm in both accuracy and speed. However, it is very time consuming for ASW to take a large number of pixels into consideration for computing a disparity.
https://www.sciencedirect.com/science/article/pii/S1077314213000143
In recent years, local stereo matching algorithms have again become very popular in the stereo community. This is mainly due to the introduction of adaptive support weight algorithms that can for the first time produce results that are on par with global stereo methods.Cited by: 108
https://www.sciencedirect.com/science/article/pii/S0923596518300079
This article introduces an improved stereo matching algorithm for 3D surface reconstruction. ... The virtual support window was introduced by Hu et al. who proposed a complicated method to ... Li J., Li Y., Yang S.Virtual support window for adaptive-weight stereo matching. Visual Communications and Image Processing (VCIP), 2011 IEEE, IEEE (2011 ...Cited by: 8
https://dl.acm.org/citation.cfm?id=628658
The authors have embedded this adaptive-window method in an iterative stereo matching algorithm: starting with an initial estimate of the disparity map, the algorithm iteratively updates the disparity estimate for each point by choosing the size and shape of a window till it converges.Cited by: 1762
http://www.academicpub.org/pris/paperInfo.aspx?PaperID=15504
The disparity image and the left image from stereo views were applied to generate the intermediate seven virtual viewpoint images along the horizontal baseline. The Adaptive Support-Weight (ASW) algorithm with Variable Support Window (VSW) was applied to obtain the disparity image.
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