Compression of textured surfaces represented as surfel sets

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2006
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Darom, T.
Ruggeri, Mauro Roberto
Kiryati, Nahum
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Zusammenfassung

A method for lossy compression of genus-0 surfaces is presented. Geometry, texture and other surface attributes are incorporated in a uni ed manner. The input surfaces are represented by surfels (surface elements), i.e., by a set of disks with attributes. Each surfel, with its attribute vector, is optimally mapped onto a sphere in the sense of geodesic distance preservation. The resulting spherical vector-valued function is resampled. Its components are decorrelated by the Karhunen-Lo eve transform, represented by spherical wavelets and encoded using the zerotree algorithm. Methods for geodesic distance computation on surfel-based surfaces are considered. A novel e cient approach to dense surface attening/mapping, using rectangular distance matrices, is employed. The distance between each surfel and a set of key-surfels is optimally preserved, leading to greatly improved resolution and eliminating the need for interpolation, that complicates and slows down existing surface unfolding methods. Experimental surfel-based surface compression results demonstrate successful compression at very low bit rates.

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004 Informatik
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Textured surface compression, Spherical mapping, Geodesic paths, Surfels, Spherical wavelets
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ISO 690DAROM, T., Mauro Roberto RUGGERI, Dietmar SAUPE, Nahum KIRYATI, 2006. Compression of textured surfaces represented as surfel sets. In: Signal Processing: Image Communication. 2006, 21(9), pp. 770-786. ISSN 0923-5965. eISSN 1879-2677. Available under: doi: 10.1016/j.image.2006.07.003
BibTex
@article{Darom2006Compr-22214,
  year={2006},
  doi={10.1016/j.image.2006.07.003},
  title={Compression of textured surfaces represented as surfel sets},
  number={9},
  volume={21},
  issn={0923-5965},
  journal={Signal Processing: Image Communication},
  pages={770--786},
  author={Darom, T. and Ruggeri, Mauro Roberto and Saupe, Dietmar and Kiryati, Nahum}
}
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