by Stommel, Martin and Kuhnert, Klaus-Dieter
Abstract:
This paper proposes a hierarchical model for the recognition of deformable objects. Object categories are modelled by multiple views, views in turn consist of several parts, and parts consist of several features. The main advantage of the proposed model is that its nodes can be tuned with regard to the spatial selectivity. Every node in a category, views or part can thus take on the shape of a simple bag of features or a geometrically selective constellation model including all forms in between. Together with the explicit modelling of multiple views this allows for the modelling of categories with high intra-class variance. Experimental results show a high precision for the recognition of a character from a cartoon data base.
Reference:
Stommel, Martin and Kuhnert, Klaus-Dieter, "A hierarchical model for the recognition of deformable objects", In ICCVG, Springer, Warsaw, Poland, 2008.
Bibtex Entry:
@INPROCEEDINGS{Stommela,
author = {Stommel, Martin and Kuhnert, Klaus-Dieter},
title = {A hierarchical model for the recognition of deformable objects},
booktitle = {ICCVG},
year = {2008},
address = {Warsaw, Poland},
month = {November10--12},
publisher = {Springer},
abstract = {This paper proposes a hierarchical model for the recognition of deformable
objects. Object categories are modelled by multiple views, views
in turn consist of several parts, and parts consist of several features.
The main advantage of the proposed model is that its nodes can be
tuned with regard to the spatial selectivity. Every node in a category,
views or part can thus take on the shape of a simple bag of features
or a geometrically selective constellation model including all forms
in between. Together with the explicit modelling of multiple views
this allows for the modelling of categories with high intra-class
variance. Experimental results show a high precision for the recognition
of a character from a cartoon data base.},
owner = {pmania},
timestamp = {2012.11.06}
}