Title :
A Robust Corner Matching Technique
Author :
Awrangjeb, Mohammad ; Lu, Guojun
Author_Institution :
Monash Univ., Churchill
Abstract :
In contour-based comer detectors, absolute curvature values of many corners either remain unaltered or change slightly under affine transformations. Moreover, affine-length of a curve is relatively invariant to affine transformations. This paper presents a novel corner matching technique using corners detected by contour-based detectors. For each corner we use its position, absolute curvature value, and affine-lengths between this corner and other corners on the same curve. The iterative matching procedure tries to find three corner matches with minimum absolute curvature difference to calculate affine transformation parameters. Original corners are transformed with the estimated parameters prior to matching with the test corner set.
Keywords :
affine transforms; edge detection; image matching; absolute curvature value; affine transformation parameters; affine-lengths; contour-based corner detectors; iterative matching procedure; robust corner matching technique; Australia; Computer vision; Cost function; Detectors; Image coding; Information technology; NP-complete problem; Noise robustness; Parameter estimation; Testing;
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
DOI :
10.1109/ICME.2007.4284942