A BAYESIAN APPROACH TO 3D OBJECT RECOGNITION USING LINEAR COMBINATION OF 2D VIEWS

Vasileios Zografos, Bernard F. Buxton

2008

Abstract

We introduce Bayes priors into a recent pixel-based, linear combination of views object recognition technique. Novel views of an object are synthesized and matched to the target scene image using numerical optimisation. Experiments on a real-image, public database with the use of two different optimisation methods indicate that the priors effectively regularize the error surface and lead to good performance in both cases. Further exploration of the parameter space has been carried out using Markov Chain Monte Carlo sampling.

Paper Citation

in Harvard Style

Zografos V. and F. Buxton B. (2008). A BAYESIAN APPROACH TO 3D OBJECT RECOGNITION USING LINEAR COMBINATION OF 2D VIEWS . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 295-298. DOI: 10.5220/0001081902950298

in Bibtex Style

@conference{visapp08,
author={Vasileios Zografos and Bernard F. Buxton},
title={A BAYESIAN APPROACH TO 3D OBJECT RECOGNITION USING LINEAR COMBINATION OF 2D VIEWS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={295-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001081902950298},
isbn={978-989-8111-21-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - A BAYESIAN APPROACH TO 3D OBJECT RECOGNITION USING LINEAR COMBINATION OF 2D VIEWS
SN - 978-989-8111-21-0
AU - Zografos V.
AU - F. Buxton B.
PY - 2008
SP - 295
EP - 298
DO - 10.5220/0001081902950298