Adaptively sampled distance fields: a general representation of shape for computer graphics

@inproceedings{Frisken2000AdaptivelySD,
  title={Adaptively sampled distance fields: a general representation of shape for computer graphics},
  author={Sarah F. Frisken and Ronald N. Perry and Alyn P. Rockwood and Thouis R. Jones},
  booktitle={SIGGRAPH},
  year={2000}
}
Adaptively Sampled Distance Fields (ADFs) are a unifying representation of shape that integrate numerous concepts in computer graphics including the representation of geometry and volume data and a broad range of processing operations such as rendering, sculpting, level-of-detail management, surface offsetting, collision detection, and color gamut correction. Its structure is uncomplicated and direct, but is especially effective for quality reconstruction of complex shapes, e.g., artistic and… CONTINUE READING
Highly Influential
This paper has highly influenced 40 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 793 citations. REVIEW CITATIONS
441 Citations
0 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 441 extracted citations

794 Citations

050'01'04'08'12'16
Citations per Year
Semantic Scholar estimates that this publication has 794 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…