loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Simon Donné ; Ljubomir Jovanov ; Bart Goossens ; Wilfried Philips and Aleksandra Pižurica

Affiliation: Ghent University, Belgium

Keyword(s): Computer Vision, On-line 3D Reconstruction, Non-rigid Structure-from-Motion, Subset Selection.

Abstract: Non-rigid structure-from-motion in an on-line setting holds many promises for useful applications, and off-line reconstruction techniques are already very advanced. Literature has only recently started focusing on on-line reconstruction, with only a handful of existing techniques available. Here we propose a novel method of history representation which utilizes the advances in off-line reconstruction. We represent the history as a set of keyframes, a representative subset of all past frames. This history representation is used as side-information in the estimation of individual frames. We expand the history as previously unseen frames arrive and compress it again when its size grows too large. We evaluate the proposed method on some test sequences, focusing on a human face in a conversation. While on-line algorithms can never perform as well as off-line methods as they have less information available, our method compares favourably to the state of the art off-line methods.

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 18.118.162.128

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:
Donné, S.; Jovanov, L.; Goossens, B.; Philips, W. and Pižurica, A. (2014). Online Non-rigid Structure-from-Motion based on a Keyframe Representation of History. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: PANORAMA; ISBN 978-989-758-004-8; ISSN 2184-4321, SciTePress, pages 723-731. DOI: 10.5220/0004871407230731

@conference{panorama14,
author={Simon Donné. and Ljubomir Jovanov. and Bart Goossens. and Wilfried Philips. and Aleksandra Pižurica.},
title={Online Non-rigid Structure-from-Motion based on a Keyframe Representation of History},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: PANORAMA},
year={2014},
pages={723-731},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004871407230731},
isbn={978-989-758-004-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: PANORAMA
TI - Online Non-rigid Structure-from-Motion based on a Keyframe Representation of History
SN - 978-989-758-004-8
IS - 2184-4321
AU - Donné, S.
AU - Jovanov, L.
AU - Goossens, B.
AU - Philips, W.
AU - Pižurica, A.
PY - 2014
SP - 723
EP - 731
DO - 10.5220/0004871407230731
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: [email protected]

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic