Spline-based feature curves from point-sampled geometry

Daniels, Joel; Ochotta, Tilo; Ha, Linh K.; Silva, Claudio T.

Spline-based feature curves from point-sampled geometry

Files

Ochotta_opus-117965.pdf(7.23 MB)

Date

2008

Authors

Daniels, Joel

Ochotta, Tilo

Ha, Linh K.

Silva, Claudio T.

Publication type

Journal article

Published in

The Visual Computer ; 24 (2008), 6. - pp. 449-462

Abstract

Defining sharp features in a 3D model facilitates a better understanding of the surface and aids geometric processing and graphics applications, such as reconstruction, filtering, simplification, reverse engineering, visualization, and non-photo realism. We present a robust method that identifies sharp features in a point-based model by returning a set of smooth spline curves aligned along the edges. Our feature extraction leverages the concepts of robust moving least squares to locally project points to potential features. The algorithm processes these points to construct arc-length parameterized spline curves fit using an iterative refinement method, aligning smooth and continuous curves through the feature points. We demonstrate the benefits of our method with three applications: surface segmentation, surface meshing and point-based compression.

Subject (DDC)

004 Computer Science

Keywords

feature extraction,moving least squares,point-based modeling,robust statistics,B-splines

Cite This

ISO 690

DANIELS, Joel, Tilo OCHOTTA, Linh K. HA, Claudio T. SILVA, 2008. Spline-based feature curves from point-sampled geometry. In: The Visual Computer. 24(6), pp. 449-462. Available under: doi: 10.1007/s00371-008-0223-2

BibTex

@article{Daniels2008Splin-2991,
  year={2008},
  doi={10.1007/s00371-008-0223-2},
  title={Spline-based feature curves from point-sampled geometry},
  number={6},
  volume={24},
  journal={The Visual Computer},
  pages={449--462},
  author={Daniels, Joel and Ochotta, Tilo and Ha, Linh K. and Silva, Claudio T.}
}

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