loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.93.34

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic