Kim, HyominKim, JungeonNam, HyeonseoPark, JaesikLee, SeungyongMitra, Niloy and Viola, Ivan2021-04-092021-04-0920211467-8659https://doi.org/10.1111/cgf.142652https://diglib.eg.org:443/handle/10.1111/cgf142652This 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.Computing methodologiesTexturing10.1111/cgf.142652523-535