Adaptive finite-element meshes for progressive contour models

Remin Lin, Wei Chung Lin, Chin Tu Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


This paper presents a progressive contour model based on the idea of deforming a contour from an initial shape as a source of prior knowledge by minimizing a defined contour energy to extract a desired contour from an image. The internal component of the contour energy imposes smoothness constraints on the displacements of deformations and the external component establishes the correspondence between the contour and image edges. A sequence of deformations is determined by repeatedly deforming and updating the initial contour. We show that the contour deformed by this sequence will smoothly and progressively approach a uniquely defined contour. We implement this model using a finite-element method, a multigrid algorithm, and an unconstrained optimization method. This approach offers several attractive advantages including a satisfactory convergence rate and the adaptation of the smoothness constraints.

Original languageEnglish (US)
Title of host publicationTrack A
Subtitle of host publicationComputer Vision
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Print)081867282X, 9780818672828
StatePublished - Jan 1 1996
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: Aug 25 1996Aug 29 1996

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651


Other13th International Conference on Pattern Recognition, ICPR 1996

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


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