Spatio-temporal geometry fusion for multiple hybrid cameras using moving least squares surfaces
Claudia Kuster, Jean-Charles Bazin, Cengiz Öztireli, Teng Deng, Tobias Martin, Tiberiu Popa, Markus Gross
In Computer Graphics Forum, 33(2), 2014.
Abstract: Multi-view reconstruction aims at computing the geometry of a scene observed by a set of cameras. Accurate 3D reconstruction of dynamic scenes is a key component for a large variety of applications, ranging from special effects to telepresence and medical imaging. In this paper we propose a method based on Moving Least Squares surfaces which robustly and efficiently reconstructs dynamic scenes captured by a calibrated set of hybrid color+depth cameras. Our reconstruction provides spatio-temporal consistency and seamlessly fuses color and geometric information. We illustrate our approach on a variety of real sequences and demonstrate that it favorably compares to state-of-the-art methods.
Keyword(s): Categories and Subject Descriptors (according to ACM CCS), I.3.3 [Computer Graphics] Three-Dimensional Graphics and Realism—Display Algorithms
Article URL: http://dx.doi.org/10.1111/cgf.12285
BibTeX format:
@article{Kuster:2014:SGF,
  author = {Claudia Kuster and Jean-Charles Bazin and Cengiz Öztireli and Teng Deng and Tobias Martin and Tiberiu Popa and Markus Gross},
  title = {Spatio-temporal geometry fusion for multiple hybrid cameras using moving least squares surfaces},
  journal = {Computer Graphics Forum},
  volume = {33},
  number = {2},
  pages = {1--10},
  year = {2014},
}
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