Disparity refinement based on least square support vector machine for stereo matching

Author:

zihao ZhangORCID,xuefeng Wang,junwei Yu,yashuang Mu

Funder

science and technology department of henan province

innovative research group project of the national natural science foundation of china

henan province key laboratory of fruits and melons biology

department of education, xinjiang uygur autonomous region

henan university of technology high level talents research start up fund project

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Reference23 articles.

1. H, K., A, H.: 3d scene reconstruction from multiple spherical stereo pair. Int. J. Comput. Vis. 104(1), 94–116 (2013)

2. Jia, X., Chen, W., Liang, Z.: Bidirectional stereo matching network with double cost volumes. IEEE Access 49, 1–9 (2021)

3. Zhang, Z., Wang, Y., Huang, T., Zhan, L.: A weighting algorithm based on the gravitational model for local stereo matching. Signal Image Video Process. 14, 315–323 (2020)

4. Yang, Q.: Stereo matching using tree filtering. IEEE Trans. Pattern Anal. Mach. Intell. 37, 834–846 (2015)

5. Zhang, Z., Zhan, L., Wang, Y.: Outlier removal based on Chauvenet’s criterion and dense disparity refinement using least square. J. Electron. Image 28(2), 1–9 (2019)

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