A NEW OBJECT RECOGNITION SYSTEM

Nikolai Sergeev, Guenther Palm

Abstract

This paper presents a new 2D object recognition system. The object representation used by the system is rotation, translation, scaling and reflection invariant. The system is highly robust to partial occlusion, deformation and perspective change. The last makes it applicable to 3D tasks. Color information can be ignored as well as combined with form representation. The boundary of an object to be recognized doesn’t need to be path-connected. The time demand to learn a new object doesn’t depend on the number of objects already learned. No object segmentation prior to recognition is needed. To evaluate the system the 3D object library COIL-100 was used.

References

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Paper Citation


in Harvard Style

Sergeev N. and Palm G. (2011). A NEW OBJECT RECOGNITION SYSTEM . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 395-400. DOI: 10.5220/0003307103950400


in Bibtex Style

@conference{visapp11,
author={Nikolai Sergeev and Guenther Palm},
title={A NEW OBJECT RECOGNITION SYSTEM},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={395-400},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003307103950400},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - A NEW OBJECT RECOGNITION SYSTEM
SN - 978-989-8425-47-8
AU - Sergeev N.
AU - Palm G.
PY - 2011
SP - 395
EP - 400
DO - 10.5220/0003307103950400