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Initial Disparity Estimation Using Sparse Matching for Wide-baseline Dense Stereo
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mustafa, Aquib Kim, Hyong-Soon Imre, Evren Hilton, Adrian |
| Copyright Year | 2014 |
| Abstract | We propose a triangulation based initialization met hod for dense disparity estimation from uncalibrated wide-b aseline image pairs using sparse correspondences. The metho d includes: (a) sparse correspondence retrieval, (b) Delaunay triangulation and homography estimation, and (c) ob taining a dense initial disparity map to initialize dense ste reo algorithms. Comparison with existing methods demons trates improvement in results with lower computational com plexity. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://arminmustafa.github.io/docs/cvmp14/poster.pdf |
| Alternate Webpage(s) | https://arminmustafa.github.io/docs/cvmp14/ArminCVMP2014.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
