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Authors: Jean-Yves Guillemaut 1 ; Ondřej Drbohlav 2 ; John Illingworth 1 and Radim Šára 3

Affiliations: 1 Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom ; 2 Visual Cognitive Systems Laboratory, University of Ljubljana, Slovenia ; 3 Center for Machine Perception, Czech Technical University, Czech Republic

Keyword(s): Helmholtz Stereopsis, Photometry, Image-Based Object Reconstruction.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Pattern Recognition ; Software Engineering

Abstract: Helmholtz stereopsis is a relatively recent reconstruction technique which is able to reconstruct scenes with arbitrary and unknown surface reflectance properties. Conventional implementations of the method estimate surface normal direction at each surface point via an eigenanalysis, thereby optimising an algebraic distance. We develop a more physically meaningful radiometric distance whose minimisation is shown to yield a Maximum Likelihood surface normal estimate. The proposed method produces more accurate results than algebraic methods on synthetic imagery and yields excellent reconstruction results on real data. Our analysis explains why, for some imaging configurations, a sub-optimal algebraic distance can yield good results.

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Paper citation in several formats:
Guillemaut, J.; Drbohlav, O.; Illingworth, J. and Šára, R. (2008). A MAXIMUM LIKELIHOOD SURFACE NORMAL ESTIMATION ALGORITHM FOR HELMHOLTZ STEREOPSIS. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 352-359. DOI: 10.5220/0001083203520359

@conference{visapp08,
author={Jean{-}Yves Guillemaut. and Ond\v{r}ej Drbohlav. and John Illingworth. and Radim Šára.},
title={A MAXIMUM LIKELIHOOD SURFACE NORMAL ESTIMATION ALGORITHM FOR HELMHOLTZ STEREOPSIS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={352-359},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001083203520359},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - A MAXIMUM LIKELIHOOD SURFACE NORMAL ESTIMATION ALGORITHM FOR HELMHOLTZ STEREOPSIS
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Guillemaut, J.
AU - Drbohlav, O.
AU - Illingworth, J.
AU - Šára, R.
PY - 2008
SP - 352
EP - 359
DO - 10.5220/0001083203520359
PB - SciTePress

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