Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
 
 
DownloadE-Mail
 Lokale TagsFreigabegeschichteDetailsÜbersicht
  Motion Capture Using Joint Skeleton Tracking and Surface Estimation

Gall, J., Stoll, C., de Aguiar, E., Theobalt, C., Rosenhahn, B., & Seidel, H.-P. (2009). Motion Capture Using Joint Skeleton Tracking and Surface Estimation. In 2009 IEEE Conference on Computer Vision and Pattern Recognition (pp. 1746-1753). Los Alamitos: IEEE Computer Society.

Item is

 

einblenden: alle ausblenden: alle

Basisdaten

einblenden: ausblenden:
Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-19BF-8 Versions-Permalink: https://hdl.handle.net/21.11116/0000-000F-5957-C
Genre: Konferenzbeitrag

Dateien

einblenden: Dateien
ausblenden: Dateien
:
773_1.pdf (Verlagsversion), 2MB
Öffnen   Speichern
Datei-Permalink:
https://hdl.handle.net/21.11116/0000-000F-5958-B
Name:
773_1.pdf
Beschreibung:
-
OA-Status:
Keine Angabe
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Öffnen
Copyright Datum:
-
Copyright Info:
© IEEE, 2009. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in 10.1109/CVPR.2009.5206755.
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Gall, Jürgen1, Autor           
Stoll, Carsten1, Autor           
de Aguiar, Edilson1, Autor           
Theobalt, Christian1, Autor                 
Rosenhahn, Bodo1, Autor           
Seidel, Hans-Peter1, Autor                 
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: This paper proposes a method for capturing the performance of a human or
an animal from a multi-view video sequence. Given an articulated
template model and silhouettes from a multi-view image sequence, our
approach recovers not only the movement of the skeleton, but also the
possibly non-rigid temporal deformation of the 3D surface.
While large scale deformations or fast movements are captured by the skeleton
pose and approximate surface skinning, true small scale deformations or
non-rigid garment motion are captured by fitting the surface to
the silhouette. We further
propose a novel optimization scheme for skeleton-based pose estimation
that exploits the skeleton's tree structure to split the
optimization problem into a local one and a lower dimensional global one.
We show on various sequences that our approach can capture the 3D motion of
animals and humans accurately even in the case of rapid movements and
wide apparel like skirts.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2009-03-242009
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 520480
Anderer: Local-ID: C125675300671F7B-76CFE158D6F5470BC1257583005FD867-Gall2009b
BibTex Citekey: Gall-et-al_CVPR09
DOI: 10.1109/CVPR.2009.5206755
 Art des Abschluß: -

Veranstaltung

einblenden:
ausblenden:
Titel: 2009 IEEE Conference on Computer Vision and Pattern Recognition
Veranstaltungsort: Miami, FL, USA
Start-/Enddatum: 2009-06-20 - 2009-06-25

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: 2009 IEEE Conference on Computer Vision and Pattern Recognition
  Kurztitel : CVPR 2009
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Los Alamitos : IEEE Computer Society
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1746 - 1753 Identifikator: ISBN: 978-1-4244-3992-8