Deforming and Animating Discretely Sampled Object Representations

M. Chen, S. Islam, M. W. Jones, P. Shen, D. Silver, S. J. Walton, and P. J. Willis

Abstract

A sampled object representation (SOR) defines a graphical model using data obtained from a sampling process, which takes a collection of samples at discrete positions in space in order to capture certain geometrical and physical properties of one or more objects of interest. Examples of SORs include images, videos, volume datasets and point datasets. Unlike many commonly used data representations in computer graphics, SORs lack in geometrical, topological and semantic information, which is much needed for controlling deformation and animation. Hence it poses a significant scientific and technical challenge to develop deformation and animation methods that operate upon SORs. Such methods can enable computer graphics and computer animation to benefit enormously from the advances of digital imaging technology.

Source Materials

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Citation

M. Chen, S. Islam, M. W. Jones, P. Shen, D. Silver, S. J. Walton, and P. J. Willis, Deforming and Animating Discretely Sampled Object Representations, Eurographics 2005, STAR Reports, 113-140, 2005

Bibtex

@INPROCEEDINGS{DSOR_STAR,
  author = {Min Chen and Shoukat Islam and Mark W. Jones and Peiyi Shen and Deborah Silver and Simon J. Walton and Phil J. Willis},
  title = {Deforming and Animating Discretely Sampled Object Representations},
  booktitle = {Eurographics 2005, STAR Reports},
  year = {2005},
  pages = {113--140},
  pdfurl = {http://cs.swan.ac.uk/~csmark/PDFS/ST6_2005.pdf},
  date={2005-08-29},
}