Affine-Invariant Curve Matching

Marco Zuliani, Sitaram Bhagavathy, B. S. Manjunath, and C. S. Kenney
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106.
{zuliani, sitaram, manj, kenney} [at]


In this paper, we propose an affine-invariant method for describing and matching curves. This is important since affine transformations are often used to model perspective distortions. More specifically, we propose a new definition of the shape of a curve that characterizes a curve independently of the effects introduced by affine distortions. By combining this definition with a rotation-invariant shape descriptor, we show how it is possible to describe a curve in an intrinsically affine-invariant manner. To validate our procedure we built a database of shapes subject to perspective distortions and plotted the precision-recall curve for this dataset. Finally an application of our method is shown in the context of wide baseline matching.
[PDF] [BibTex]
M. Zuliani, S. Bhagavathy, B. S. Manjunath, C. S. Kenney,
IEEE International Conference on Image Processing, Singapore, Oct. 2004.
Node ID: 379 , DB ID: 177 , VRLID: 138 , Lab: VRL , Target: Conference
Subject: [Image Registration and Fusion] « Look up more