Publication #177

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}@ece.ucsb.edu

Abstract

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,
"Affine-Invariant Curve Matching"
IEEE International Conference on Image Processing, Singapore, Oct. 2004.

DB ID: 177, VRL ID: 138, Lab: VRL, Target: Conference
Grants: [ONR #N00014-04-1-0121, ONR #N00014-02-1-0318, NSF-DLI #IIS-49817432] « Look-up more
Subject: [Registration_Fusion] « Look-up more
Project: [Registration with Fit Assessment] « Look-up more

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