@inproceedings{47c5ae17ee184c0293c408ed2a3b341a,
title = "Top-points as interest points for image matching",
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.",
author = "Bram Platel and Evguenia Balmachnova and Luc Florack and Romeny, {Bart M. ter Haar}",
year = "2006",
doi = "10.1007/11744023_33",
language = "English",
isbn = "3-540-33832-2",
volume = "1",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "418--429",
editor = "H. Bischof and A. Leonardis and A. Pinz",
booktitle = "Computer Vision - ECCV 2006 (Proceedings 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006)",
address = "Germany",
}