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Authors: Malte Lenoch ; Thorsten Wilhelm and Christian Wöhler

Affiliation: TU Dortmund University, Germany

Keyword(s): Image Segmentation, BRDF Estimation, Reversible Jump Markov Chain Monte Carlo.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: We present a novel procedure that achieves segmentation of an arbitrary surface relying on the maximum a-posteriori estimation of its reflectance parameters. The number of surfaces segments is computed by the algorithm without user intervention. We employ Markov Chain Monte Carlo algorithms to compute the probability distributions associated with the model parameters of a Blinn reflectance model based on the input images. The fact that parameters are treated as probability distributions enables us to directly draw additional information about the certainty of the estimation from the results of both parameters and segmentation borders. Reversible jump MCMC allows us to include an unspecified number of change points in the computation, such that the algorithm explores model and parameter space at the same time and derives a segmentation of the surface from the input data. To accomplish this, we extend the existing concept of change points to two dimensions introducing a number of neces sary new regulations and properties. The performance of the segmentation and reflectance estimation is evaluated on a synthetic and a real-world dataset. (More)

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Paper citation in several formats:
Lenoch, M.; Wilhelm, T. and Wöhler, C. (2016). Simultaneous Surface Segmentation and BRDF Estimation via Bayesian Methods. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 39-48. DOI: 10.5220/0005722600390048

@conference{visapp16,
author={Malte Lenoch. and Thorsten Wilhelm. and Christian Wöhler.},
title={Simultaneous Surface Segmentation and BRDF Estimation via Bayesian Methods},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP},
year={2016},
pages={39-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005722600390048},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP
TI - Simultaneous Surface Segmentation and BRDF Estimation via Bayesian Methods
SN - 978-989-758-175-5
IS - 2184-4321
AU - Lenoch, M.
AU - Wilhelm, T.
AU - Wöhler, C.
PY - 2016
SP - 39
EP - 48
DO - 10.5220/0005722600390048
PB - SciTePress

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