Enhancing curvature scale space features for robust shape classification

S Kopf, T Haenselmann… - 2005 IEEE International …, 2005 - ieeexplore.ieee.org
S Kopf, T Haenselmann, W Effelsberg
2005 IEEE International Conference on Multimedia and Expo, 2005ieeexplore.ieee.org
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 …
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.
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