Modeling Surfaces of Arbitrary Topology with Dynamic Particles
Abstract
A new approach to surface modeling and reconstruction is developed which overcomes some important limitations of existing surface representations methods. The approach features two components. The first is a dynamic self-organizing oriented particle system which discovers topological and geometric surface structure implicit in visual data. The oriented particles evolve according to Newtonian mechanics and interact through long-range attraction forces, short-range repulsion forces, and coplanarity, conormality, and cocircularity forces. The second component is an efficient triangulation scheme that connects the particles into a continuous global surface model that is consistent with the inferred structure. A flexible surface reconstruction algorithm is developed that can compute complete, detailed, viewpoint-invariant geometric surface descriptions of objects with arbitrary topology. The algorithms are applied to 3-D medical image segmentation and to surface reconstruction from object silhouettes.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Szeliski et al. "Modeling Surfaces of Arbitrary Topology with Dynamic Particles." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.340975Markdown
[Szeliski et al. "Modeling Surfaces of Arbitrary Topology with Dynamic Particles." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/szeliski1993cvpr-modeling/) doi:10.1109/CVPR.1993.340975BibTeX
@inproceedings{szeliski1993cvpr-modeling,
title = {{Modeling Surfaces of Arbitrary Topology with Dynamic Particles}},
author = {Szeliski, Richard and Tonnesen, David and Terzopoulos, Demetri},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1993},
pages = {82-87},
doi = {10.1109/CVPR.1993.340975},
url = {https://mlanthology.org/cvpr/1993/szeliski1993cvpr-modeling/}
}