| Conference |
| Type of Publication |
| Enhancing Curvature Scale Space Features for Robust Shape
Classification |
| Title |
|
|
| Authors |
| Proceedings of IEEE International Conference on
Multimedia and Expo (ICME'2005), Amsterdam, The Netherlands, July 2005 |
| Published in |
| 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. |
| Abstract |
|
curvature scale space
CSS
mapped shapes
character recognition
|
| Keywords |
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| Downloads & Bib-Entries |
