Title :
Affine-invariant curve matching
Author :
Zuliani, Marco ; Bhagavathy, Sitaram ; Manjunath, B.S. ; Kenney, C.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
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.
Keywords :
image matching; visual databases; affine transformation; affine-invariant-method; matching curve; perspective distortion; precision-recall curve; rotation-invariant shape descriptor; wide baseline matching; Cameras; Cascading style sheets; Feature extraction; MPEG 7 Standard; Noise shaping; Optical distortion; Robustness; Shape;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1421754