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International Journal of Computer Vision

, Volume 69, Issue 1, pp 137–144 | Cite as

Contour Inferences for Image Understanding

  • Washington Mio
  • Anuj Srivastava
  • Xiuwen Liu
Short Papers

Abstract

We present a new approach to the algorithmic study of planar curves, with applications to estimations of contours in images. We construct spaces of curves satisfying constraints suited to specific problems, exploit their geometric structure to quantify properties of contours, and solve optimization and inference problems. Applications include new algorithms for computing planar elasticae, with enhanced performance and speed, and geometric algorithms for the estimation of contours of partially occluded objects in images.

Keywords

curve interpolation elastica partial occlusions shape completion 

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Copyright information

© Springer Science + Business Media, LLC 2006

Authors and Affiliations

  1. 1.Department of MathematicsFlorida State UniversityTallahassee
  2. 2.Department of StatisticsFlorida State UniversityTallahassee
  3. 3.Department of Computer ScienceFlorida State UniversityTallahassee

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