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Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera

2021-08-20 05:43:42
Hyomin Kim, Jungeon Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee

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.

Abstract (translated)

URL

https://arxiv.org/abs/2108.09007

PDF

https://arxiv.org/pdf/2108.09007.pdf


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