@inproceedings{9ebaf309f713460bae08a2c52b89a460,
title = "A stable graph-based representation for object recognition through high-order matching",
abstract = "Many Object recognition techniques perform some flavour of point pattern matching between a model and a scene. Such points are usually selected through a feature detection algorithm that is robust to a class of image transformations and a suitable descriptor is computed over them in order to get a reliable matching. Moreover, some approaches take an additional step by casting the correspondence problem into a matching between graphs defined over feature points. The motivation is that the relational model would add more discriminative power, however the overall effectiveness strongly depends on the ability to build a graph that is stable with respect to both changes in the object appearance and spatial distribution of interest points. In fact, widely used graph-based representations, have shown to suffer some limitations, especially with respect to changes in the Euclidean organization of the feature points. In this paper we introduce a technique to build relational structures over corner points that does not depend on the spatial distribution of the features.",
author = "A. Albarelli and F. Bergamasco and L. Rossi and S. Vascon and A. Torsello",
note = "{\textcopyright} 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 21st International Conference on Pattern Recognition, ICPR 2012 ; Conference date: 11-11-2012 Through 15-11-2012",
year = "2012",
language = "English",
isbn = "978-1-4673-2216-4 ",
series = "International conference on pattern recognition",
publisher = "IEEE",
pages = "3341--3344",
booktitle = "Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)",
address = "United States",
}