2005 IEEE International Conference on Multimedia and Expo
Enhancing curvature scale space features for robust shape classification
Amsterdam, Netherlands
July 06-July 06
ISBN: 0-7803-9331-7
S. Kopf, Dept. of Comput. Sci. IV, Mannheim Univ., Germany
The curvature scale space (CSS) technique, which is also part of the MPEG-7 standard, is a robust method to describe complex shapes. The central idea is to analyze the curvature of a shape and derive features from inflection points. A major drawback of the CSS method is its poor representation of convex segments: Convex objects cannot be represented at all due to missing inflection points. We have extended the CSS approach to generate feature points for concave and convex segments of a shape. This generic approach is applicable to arbitrary objects. In the experimental results, we evaluate as a comprehensive example the automatic recognition of characters in images and videos.
Index Terms:
automatic character recognition, curvature scale space feature, CSS, image enhancement, shape classification, MPEG-7 standard, concave-convex segmentation
Citation:
S. Kopf, T. Haenselmann, W. Effelsberg, "Enhancing curvature scale space features for robust shape classification," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005