Finite-element level-set curve particles

Published

Journal Article

Particle filters encode a time-evolving probability density by maintaining a random sample from it. Level sets represent closed curves as zero crossings of functions of two variables. The combination of level sets and particle filters presents many conceptual advantages when tracking uncertain, evolving boundaries over time, but the cost of combining these two ideas seems prima facie prohibitive. A previous publication showed that a large number of virtual level set particles can be tracked with a logarithmic amount of work for propagation and update. We now make levelset curve particles more efficient by borrowing ideas from the Finite Element Method (FEM). This improves level-set curve particles in both running time (by a constant factor) and accuracy of the results. ©2007 IEEE.

Full Text

Duke Authors

Cited Authors

  • Jiang, T; Tomasi, C

Published Date

  • December 1, 2007

Published In

  • Proceedings of the Ieee International Conference on Computer Vision

Digital Object Identifier (DOI)

  • 10.1109/ICCV.2007.4409184

Citation Source

  • Scopus