GENERIC 3D OBJECT RECOGNITION FROM TIME-OF-FLIGHT IMAGES USING BOOSTED COMBINED SHAPE FEATURES

Doaa Hegazy, Joachim Denzler

Abstract

Very few research is done to deal with the problem of generic object recognition from range images. With the upcoming technique of Time-of-Flight cameras (TOF), for example the PMD-cameras, range images can be acquired in real-time and thus recorded range data can be used for generic object recognition. This paper presents a model for generic recognition of 3D objects from TOF images. The main challenge is the low resolution in space and the noise level of the data which makes careful feature selection and robust classifier necessary. Our approach describes the objects as a set of local shape specific features. These features are computed from interest regions detected and extracted using a suitable interest point detector. Learning is performed in a weakly supervised manner using RealAdaBoost algorithm. The main idea of our approach has previously been applied to 2D images, and, up to our knowledge, has never been applied to range images for the task of generic object recognition. As a second contribution, a new 3D object category database is introduced which provides 2D intensity as well as 3D range data about its members. Experimental evaluation of the performance of the proposed recognition model is carried out using the new database and promising results are obtained.

References

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Paper Citation


in Harvard Style

Hegazy D. and Denzler J. (2009). GENERIC 3D OBJECT RECOGNITION FROM TIME-OF-FLIGHT IMAGES USING BOOSTED COMBINED SHAPE FEATURES . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 321-326. DOI: 10.5220/0001789303210326


in Bibtex Style

@conference{visapp09,
author={Doaa Hegazy and Joachim Denzler},
title={GENERIC 3D OBJECT RECOGNITION FROM TIME-OF-FLIGHT IMAGES USING BOOSTED COMBINED SHAPE FEATURES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={321-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001789303210326},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - GENERIC 3D OBJECT RECOGNITION FROM TIME-OF-FLIGHT IMAGES USING BOOSTED COMBINED SHAPE FEATURES
SN - 978-989-8111-69-2
AU - Hegazy D.
AU - Denzler J.
PY - 2009
SP - 321
EP - 326
DO - 10.5220/0001789303210326