Improving forward mapping and disocclusion inpainting algorithms for depth-image-based rendering and geomatics applications
| dc.contributor.advisor | Zhang, Yun | |
| dc.contributor.author | Liu, Weilong (William) | |
| dc.date.accessioned | 2023-11-13T14:35:07Z | |
| dc.date.available | 2023-11-13T14:35:07Z | |
| dc.date.issued | 2022-08 | |
| dc.description.abstract | Depth-image-based Rendering (DIBR) is a promising technique to generate appealing and immersive contents for virtual reality image mapping. When mapping a reference image to a virtual image, two challenges exist: (1) the most widely used forward mapping algorithm is prone to generating synthetic artifacts; and (2) the existing disocclusion inpainting algorithms are not able to fill big holes in a visually plausible way. This research conducted a comprehensive investigation on the forward mapping algorithm and developed a new algorithm that can eliminate all the reported artifacts of small cracks. This research also developed a novel directional and adaptive hole-filling algorithm using an exemplar-based approach to fill big holes. The performance of the developed algorithms was validated using images from a selected benchmark database. Quantitative and qualitative assessments proved that the developed algorithms have clearly outperformed the state-of-the-art algorithms. The developed algorithms were applied to outdoor/indoor mapping applications to prove the concept. It validated the feasibility of using the developed algorithms to improve user experiences on existing Street View technologies. | |
| dc.description.copyright | ©Weilong (William) Liu, 2022 | |
| dc.format.extent | ix, 102 | |
| dc.format.medium | electronic | |
| dc.identifier.uri | https://unbscholar.lib.unb.ca/handle/1882/37539 | |
| dc.language.iso | en | |
| dc.publisher | University of New Brunswick | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.subject.discipline | Geodesy and Geomatics Engineering | |
| dc.title | Improving forward mapping and disocclusion inpainting algorithms for depth-image-based rendering and geomatics applications | |
| dc.type | master thesis | |
| oaire.license.condition | other | |
| thesis.degree.discipline | Geodesy and Geomatics Engineering | |
| thesis.degree.grantor | University of New Brunswick | |
| thesis.degree.level | masters | |
| thesis.degree.name | M.Sc.E. |