ROBUST AND UNBIASED FOREGROUND / BACKGROUND ENERGY FOR MULTI-VIEW STEREO
Zhihu Chen, Kwan-Yee K. Wong
2011
Abstract
This paper revisits the graph-cuts based approach for solving the multi-view stereo problem, and proposes a novel foreground / background energy which is shown to be unbiased and robust against noisy depth maps. Unlike most existing works which focus on deriving a robust photo-consistency energy, this paper targets at deriving a robust and unbiased foreground / background energy. By introducing a novel data-dependent foreground / background energy, we show that it is possible to recover the object surface from noisy depth maps even in the absence of the photo-consistency energy. This demonstrates that the foreground / background energy is equally important as the photo-consistency energy in graph-cuts based methods. Experiments on real data sequences further show that high quality reconstructions can be achieved using our proposed foreground / background energy with a very simple photo-consistency energy.
References
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Paper Citation
in Harvard Style
Chen Z. and K. Wong K. (2011). ROBUST AND UNBIASED FOREGROUND / BACKGROUND ENERGY FOR MULTI-VIEW STEREO . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 451-458. DOI: 10.5220/0003308604510458
in Bibtex Style
@conference{visapp11,
author={Zhihu Chen and Kwan-Yee K. Wong},
title={ROBUST AND UNBIASED FOREGROUND / BACKGROUND ENERGY FOR MULTI-VIEW STEREO},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={451-458},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003308604510458},
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 - ROBUST AND UNBIASED FOREGROUND / BACKGROUND ENERGY FOR MULTI-VIEW STEREO
SN - 978-989-8425-47-8
AU - Chen Z.
AU - K. Wong K.
PY - 2011
SP - 451
EP - 458
DO - 10.5220/0003308604510458