Title :
A stable graph-based representation for object recognition through high-order matching
Author :
Albarelli, Andrea ; Bergamasco, Filippo ; Rossi, L. ; Vascon, S. ; Torsello, Andrea
Author_Institution :
Univ. Ca´´ Foscari Venezia, Venezia, Italy
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.
Keywords :
feature extraction; graph theory; image matching; image representation; object recognition; Euclidean organization; feature detection algorithm; feature points; high-order matching; image descriptor; image transformations; object appearance; object recognition; pattern matching; relational model; relational structures; spatial points distribution; stable graph-based representation; Data models; Feature extraction; Image edge detection; Object recognition; Pattern matching; Robustness;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4