INVARIANT FACE RECOGNITION IN A NETWORK OF CORTICAL COLUMNS
Philipp Wolfrum, Jörg Lücke, Christoph von der Malsburg
2008
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.
DownloadPaper 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