Top-points as interest points for image matching

Authors:
B. Platel;E. Balmachnova;L. M. J. Florack;B. M. ter Haar Romeny
Affiliations:
Technische Universiteit Eindhoven, Eindhoven, The Netherlands;Technische Universiteit Eindhoven, Eindhoven, The Netherlands;Technische Universiteit Eindhoven, Eindhoven, The Netherlands;Technische Universiteit Eindhoven, Eindhoven, The Netherlands
Venue:
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Year:
2006

Citing 8
Cited 8

Scale and the differential structure of images

Image and Vision Computing - Special issue: information processing in medical imaging 1991
The Topological Structure of Scale-Space Images

Journal of Mathematical Imaging and Vision
Evaluation of Interest Point Detectors

International Journal of Computer Vision - Special issue on a special section on visual surveillance
Scale & Affine Invariant Interest Point Detectors

International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
A Performance Evaluation of Local Descriptors

IEEE Transactions on Pattern Analysis and Machine Intelligence
Stability of top-points in scale space

Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Discrete representation of top points via scale space tessellation

Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision

Image alignment and stitching: a tutorial

Foundations and Trends® in Computer Graphics and Vision
Multiobjective design of operators that detect points of interest in images

Proceedings of the 10th annual conference on Genetic and evolutionary computation
Photo-based question answering

MM '08 Proceedings of the 16th ACM international conference on Multimedia
The Representation and Matching of Images Using Top Points

Journal of Mathematical Imaging and Vision
Feature vector similarity based on local structure

SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Image matching using enclosed region detector

Journal of Visual Communication and Image Representation
3D winding number: theory and application to medical imaging

Journal of Biomedical Imaging - Special issue on modern mathematics in biomedical imaging
Gauge-SURF descriptors

Image and Vision Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well as scale-Euclidean transformations. The differential properties and noise characteristics of these points are mathematically well understood. It is possible to retrieve the exact location of a top-point from any coarse estimation through a closed-form vector equation which only depends on local derivatives in the estimated point. All these properties make top-points highly suitable as anchor points for invariant matching schemes. By means of a set of repeatability experiments and receiver-operator-curves we demonstrate the performance of top-points and differential invariant features as image descriptors.