The Topological Structure of Scale-Space Images
Journal of Mathematical Imaging and Vision
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Pseudo-Metric for Weighted Point Sets
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
On the Axioms of Scale Space Theory
Journal of Mathematical Imaging and Vision
Content based image retrieval using multiscale top points a feasibility study
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
The Representation and Matching of Images Using Top Points
Journal of Mathematical Imaging and Vision
3D winding number: theory and application to medical imaging
Journal of Biomedical Imaging - Special issue on modern mathematics in biomedical imaging
Top-points as interest points for image matching
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
DSSCV'05 Proceedings of the First international conference on Deep Structure, Singularities, and Computer Vision
Using top-points as interest points for image matching
DSSCV'05 Proceedings of the First international conference on Deep Structure, Singularities, and Computer Vision
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This paper presents an algorithm for computing stability of top-points in scale-space. The potential usefulness of top-points in scale-space has already been shown for a number of applications, such as image reconstruction and image retrieval. In order to improve results only reliable top-points should be used. The algorithm is based on perturbation theory and noise propagation.