INVARIANT FACE RECOGNITION IN A NETWORK OF CORTICAL COLUMNS

Philipp Wolfrum, Jörg Lücke, Christoph von der Malsburg

Abstract

We describe a neural network for invariant object recognition. The network is generative in the sense that it explicitly represents both the recognized object and the extrinsic properties to which it is invariant (especially object position). The model is biologically plausible, being formulated as a neuronal system composed of cortical columns. At the same time it has competitive face recognition performance.

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Paper Citation


in Harvard Style

Wolfrum P., Lücke J. and von der Malsburg C. (2008). INVARIANT FACE RECOGNITION IN A NETWORK OF CORTICAL COLUMNS . 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 38-45. DOI: 10.5220/0001073300380045


in Bibtex Style

@conference{visapp08,
author={Philipp Wolfrum and Jörg Lücke and Christoph von der Malsburg},
title={INVARIANT FACE RECOGNITION IN A NETWORK OF CORTICAL COLUMNS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={38-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001073300380045},
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 - INVARIANT FACE RECOGNITION IN A NETWORK OF CORTICAL COLUMNS
SN - 978-989-8111-21-0
AU - Wolfrum P.
AU - Lücke J.
AU - von der Malsburg C.
PY - 2008
SP - 38
EP - 45
DO - 10.5220/0001073300380045