Abstract
Image and geometry processing applications estimate the local geometry of objects using information localized at points. They usually consider information about the tangents as a side product of the points coordinates. This work proposes parabolic polygons as a model for discrete curves, which intrinsically combines points and tangents. This model is naturally affine invariant, which makes it particularly adapted to computer vision applications. As a direct application of this affine invariance, this paper introduces an affine curvature estimator that has a great potential to improve computer vision tasks such as matching and registering. As a proof-of-concept, this work also proposes an affine invariant curve reconstruction from point and tangent data.
Original language | English (US) |
---|---|
Pages (from-to) | 131-140 |
Number of pages | 10 |
Journal | JOURNAL OF MATHEMATICAL IMAGING AND VISION |
Volume | 29 |
Issue number | 2-3 |
DOIs | |
State | Published - Nov 2007 |
Externally published | Yes |
Keywords
- Affine curvature
- Affine differential geometry
- Affine length
- Curve reconstruction
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation
- Condensed Matter Physics
- Computer Vision and Pattern Recognition
- Geometry and Topology
- Applied Mathematics