Publication Information
Title: Spline curve matching with sparse knot sets
Author: Lee, Sang-Mook; Abbott, A. Lynn; Clark, Neil A.; Araman, Philip A.
Date: 2004
Source: Proceedings, Sixth Asian Conference on Computer Vision. 246-251.
Description: This paper presents a new curve matching method for deformable shapes using two-dimensional splines. In contrast to the residual error criterion, which is based on relative locations of corresponding knot points such that is reliable primarily for dense point sets, we use deformation energy of thin-plate-spline mapping between sparse knot points and normalized local curvature information. This method has been tested successfully for the detection and database retrieval of deformable shapes.
Keywords:
View and Print this Publication (231k)
Publication Notes:
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility
Citation
Lee, Sang-Mook; Abbott, A. Lynn; Clark, Neil A.; Araman, Philip A. 2004. Spline curve matching with sparse knot sets. Proceedings, Sixth Asian Conference on Computer Vision. 246-251.
|