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

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Authors

Kim, Hyomin; Kim, Jungeon; Nam, Hyeonseo; Park, Jaesik; Lee, Seungyong

Issue Date
2021-05
Publisher
Blackwell Publishing Inc.
Citation
Computer Graphics Forum, Vol.40 No.2, pp.523-535
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.
ISSN
0167-7055
URI
https://hdl.handle.net/10371/201296
DOI
https://doi.org/10.1111/cgf.142652
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  • College of Engineering
  • Dept. of Computer Science and Engineering
Research Area Computer Graphics, Computer Vision, Machine Learning, Robotics

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