DISTANCE HISTOGRAM TO CENTROID AS A UNIQUE FEATURE TO RECOGNIZE OBJECTS

Pilar Arques, Rafael Molina, Mar Pujol, Ramon Rizo

2006

Abstract

The shape of objects plays an essential role among the different aspects of visual information. A 2D silhouette often conveys enough information to allow the correct recognition of the original 3D object. Distance Histogram to Centroid will be used as the unique feature to totally describe an object and to distinguish it from all the other objects in the scene. The proposed system has been proved to be robust to discriminate between classes in a given set of objects The main advantages are the elimination of the feature selection process and avoiding the problem of dimensionality.

References

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Paper Citation


in Harvard Style

Arques P., Molina R., Pujol M. and Rizo R. (2006). DISTANCE HISTOGRAM TO CENTROID AS A UNIQUE FEATURE TO RECOGNIZE OBJECTS.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 492-497. DOI: 10.5220/0001370804920497


in Bibtex Style

@conference{visapp06,
author={Pilar Arques and Rafael Molina and Mar Pujol and Ramon Rizo},
title={DISTANCE HISTOGRAM TO CENTROID AS A UNIQUE FEATURE TO RECOGNIZE OBJECTS},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={492-497},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001370804920497},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - DISTANCE HISTOGRAM TO CENTROID AS A UNIQUE FEATURE TO RECOGNIZE OBJECTS
SN - 972-8865-40-6
AU - Arques P.
AU - Molina R.
AU - Pujol M.
AU - Rizo R.
PY - 2006
SP - 492
EP - 497
DO - 10.5220/0001370804920497