Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera
| dc.contributor.author | Kim, Hyomin | en_US |
| dc.contributor.author | Kim, Jungeon | en_US |
| dc.contributor.author | Nam, Hyeonseo | en_US |
| dc.contributor.author | Park, Jaesik | en_US |
| dc.contributor.author | Lee, Seungyong | en_US |
| dc.contributor.editor | Mitra, Niloy and Viola, Ivan | en_US |
| dc.date.accessioned | 2021-04-09T08:01:59Z | |
| dc.date.available | 2021-04-09T08:01:59Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | This paper presents an effective method for generating a spatiotemporal (time-varying) texture map for a dynamic object using a single RGB-D camera. The input of our framework is a 3D template model and an RGB-D image sequence. Since there are invisible areas of the object at a frame in a single-camera setup, textures of such areas need to be borrowed from other frames. We formulate the problem as an MRF optimization and define cost functions to reconstruct a plausible spatiotemporal texture for a dynamic object. Experimental results demonstrate that our spatiotemporal textures can reproduce the active appearances of captured objects better than approaches using a single texture map. | en_US |
| dc.description.number | 2 | |
| dc.description.sectionheaders | Analyzing and Integrating RGB-D Images | |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.volume | 40 | |
| dc.identifier.doi | 10.1111/cgf.142652 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.pages | 523-535 | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.142652 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf142652 | |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.subject | Computing methodologies | |
| dc.subject | Texturing | |
| dc.title | Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera | en_US |