Comparison of Discrete Curvature Estimators and Application to Corner Detection
Abstract
Several curvature estimators along digital contours were proposed in recent works [1,2,3]. These estimators are adapted to non perfect digitization process and can process noisy contours. In this paper, we compare and analyse the performances of these estimators on several types of contours and we measure execution time on both perfect and noisy shapes. In a second part, we evaluate these estimators in the context of corner detection. Finally to evaluate the performance of a non curvature based approach, we compare the results with a morphological corner detector [4].
Type
Publication
Proc. 4th Int. Symp. Advances in Visual Computing (ISVC 2008), Las Vegas, Nevada, volume 5359 of Lecture Notes in Computer Science, pp 710-719, 2008. Springer
Digital Geometry
Discrete Geometric Estimator
Curvature Estimation
Corner Detection
Feature Detection
Geometry of Noisy Shapes
Robustness to Noise
2D
Digital Contour
Authors
Professor of Computer Science
My research interests include digital geometry, geometry processing, image analysis, variational models and discrete calculus.