Multi-scale inputs and context-aware aggregation network for stereo matching
Author:
Funder
National Natural Science Foundation of China
Guangxi Science and Technology Program
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18492-6.pdf
Reference43 articles.
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2. Weber M, Humenberger M, Kubinger W (2009) A very fast census-based stereo matching implementation on a graphics processing unit. In: 2009 IEEE 12th International conference on computer vision workshops, ICCV Workshops, pp 786–793, https://doi.org/10.1109/ICCVW.2009.5457622
3. Zhang C, Li Z, Cheng Y et al (2015) Meshstereo: a global stereo model with mesh alignment regularization for view interpolation. In: 2015 IEEE International conference on computer vision (ICCV), pp 2057–2065, https://doi.org/10.1109/ICCV.2015.238
4. Taniai T, Matsushita Y, Sato Y et al (2018) Continuous 3D label stereo matching using local expansion moves. IEEE Trans Pattern Anal Mach Intell 40(11):2725–2739. https://doi.org/10.1109/TPAMI.2017.2766072
5. Hirschmuller H (2008) Stereo processing by semiglobal matching and mutual information. IEEE Trans Pattern Anal Mach Intell 30(2):328–341. https://doi.org/10.1109/TPAMI.2007.1166
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