Statistical Point Geometry

@inproceedings{Kalaiah2003StatisticalPG,
  title={Statistical Point Geometry},
  author={Aravind Kalaiah and Amitabh Varshney},
  booktitle={Symposium on Geometry Processing},
  year={2003}
}
We propose a scheme for modeling point sample geometry with statistical analysis. In our scheme we depart from the current schemes that deterministically represent the attributes of each point sample. We show how the statistical analysis of a densely sampled point model can be used to improve the geometry bandwidth bottleneck and to do randomized rendering without sacrificing visual realism. We first carry out a hierarchical principal component analysis (PCA) of the model. This stage partitions… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 39 REFERENCES

Spectral compression of c © The Eurographics Association

  • Z. Karni, C. Gotsman
  • Kalaiah and Varshney / SPG mesh geometry. In Proceedings of Siggraph’00,
  • 2003

Efficient simplification of point-sampled surfaces

PMR: point to mesh rendering, a feature-based approach

A . Schilling . Antialiasing of environment maps

  • A. Gueziec Taubin, W. Horn
  • ACM Symposium on Interactive 3 D Graphics
  • 2001