Name
Abstract | ||
|---|---|---|
In multi-view stereo setting, pixel correspondence problem and super resolution problem are inter-related in a sense that the result of each problem could help to solve the other. In this paper, we propose a novel method to solve two problems together by optimizing a unified energy functional. Main difference from the previous works is that the consistency between high resolution images is considered along with consideration to the consistency of high-resolution and low-resolution image pair with the same viewpoint. Experimental results show that our method outperforms the naive combination of single image super resolution and multi-view stereo method. |
Year | Venue | Keywords |
|---|---|---|
2012 | APSIPA | optimisation,pixel correspondence problem,image super resolution problem,image resolution,multiview stereo image processing,optimization,unified energy functional,stereo image processing |
DocType | ISSN | ISBN |
Conference | 2309-9402 | 978-1-4673-4863-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haesol Park | 1 | 37 | 2.54 |
| Kyoung Mu Lee | 2 | 3228 | 153.84 |
| Sang Uk Lee | 3 | 1879 | 180.39 |