24 April 2018 Accurate stereo matching based on weighted nonlocal aggregation for enhanced disparity refinement
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Abstract
Disparity refinement is an important step to enhance the accuracy of stereo matching. This paper extends the scheme of a recent successful approach, namely the nonlocal disparity refinement algorithm, to exploit the initial disparity map in the aggregation phase of disparity refinement, in addition to the information of spatial distance and intensity difference. In addition, we propose a constraint function applied to the matching cost that constrains the scope of dissimilarity measures to further improve the accuracy of disparity refinement. Extensive experimental comparisons with several state-of-the-art methods using the Middlebury Stereo Evaluation version 3 datasets show that the proposed scheme has a great advantage in disparity refinement.
© 2018 SPIE and IS&T
Chengtao Zhu, Yau-Zen Chang, Qiang Li, "Accurate stereo matching based on weighted nonlocal aggregation for enhanced disparity refinement," Journal of Electronic Imaging 27(2), 023031 (24 April 2018). https://doi.org/10.1117/1.JEI.27.2.023031 Submission: Received 23 December 2017; Accepted 5 April 2018
Submission: Received 23 December 2017; Accepted 5 April 2018
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