loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Catherine Herold 1 ; Vincent Despiegel 2 ; Stéphane Gentric 2 ; Séverine Dubuisson 3 and Isabelle Bloch 4

Affiliations: 1 The Morpho and Télécom ParisTech Research Center, Safran Group, CNRS LTCI and Université Pierre et Marie Curie, France ; 2 The Morpho and Télécom ParisTech Research Center and Safran Group, France ; 3 Université Pierre et Marie Curie, France ; 4 The Morpho and Télécom ParisTech Research Center and CNRS LTCI, France

Keyword(s): Particle Filter, Shape Parameter Estimation, 3D Morphable Model.

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

Abstract: We present a particle filter algorithm to optimize the static shape parameters of a given face observed under multiple views and during time. Our goal is to determine the 3D shape of the head given these observations, by selecting the most suitable deformation parameters. The main idea of our method is to integrate the unknown static parameters in the particle filter hidden state and to filter and modify these parameter values given the recursively incoming observations. We propose here a comparative study of different variants of this approach evaluated on synthetic data. These results show the potential given by this type of particle based methods, which have mainly been presented from a theoretical point of view until now. We conclude with a discussion on the adaptation of these methods to real data sequences.

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 3.22.42.189

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:
Herold, C.; Despiegel, V.; Gentric, S.; Dubuisson, S. and Bloch, I. (2012). HEAD SHAPE ESTIMATION USING A PARTICLE FILTER INCLUDING UNKNOWN STATIC PARAMETERS. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP; ISBN 978-989-8565-04-4; ISSN 2184-4321, SciTePress, pages 284-293. DOI: 10.5220/0003855002840293

@conference{visapp12,
author={Catherine Herold. and Vincent Despiegel. and Stéphane Gentric. and Séverine Dubuisson. and Isabelle Bloch.},
title={HEAD SHAPE ESTIMATION USING A PARTICLE FILTER INCLUDING UNKNOWN STATIC PARAMETERS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP},
year={2012},
pages={284-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003855002840293},
isbn={978-989-8565-04-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP
TI - HEAD SHAPE ESTIMATION USING A PARTICLE FILTER INCLUDING UNKNOWN STATIC PARAMETERS
SN - 978-989-8565-04-4
IS - 2184-4321
AU - Herold, C.
AU - Despiegel, V.
AU - Gentric, S.
AU - Dubuisson, S.
AU - Bloch, I.
PY - 2012
SP - 284
EP - 293
DO - 10.5220/0003855002840293
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