Results for CBMV
Submission data
| Full name | CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation |
| Description | We generate a matching cost volume leveraging both data with ground truth and conventional wisdom. We accomplish this by coalescing diverse evidence from a bidirectional matching process via random forest classifiers. We show that the resulting matching volume estimation method achieves similar accuracy to purely data-driven alternatives on benchmarks and that it generalizes to unseen data much better. For more details, please check our paper. |
| Parameters | * pi1 = 2.4
* pi2 = 24.25 * sgm_q1=3.3 * sgm_q2=1.4 * alpha=2.9 * tau_so=0.16 (There is a detailed setup about the parameters in our paper) |
| Publication title | CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation |
| Publication authors | Konstantinos Batsos, Changjiang Cai, Philippos Mordohai |
| Publication venue | Computer Vision and Pattern Recognition (CVPR) 2018 |
| Publication URL | https://arxiv.org/abs/1804.01967 |
| Programming language(s) | Python,C/C++, with CUDA |
| Hardware | 6 cores @ 3.0 Ghz, Nvidia TitanX |
| Website | https://github.com/kbatsos/CBMV |
| Source code or download URL | https://github.com/kbatsos/CBMV |
| Submission creation date | 13 Jan, 2018 |
| Last edited | 10 Apr, 2018 |
High-res multi-view results
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Low-res many-view results
| Info | all | low-res many-view | indoor | outdoor | lakeside | sand box | storage room | storage room 2 | tunnel |
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