Animatable Human Body Reconstruction from 3D Scan Data using Templates (Contributo in atti di convegno)

Type
Label
  • Animatable Human Body Reconstruction from 3D Scan Data using Templates (Contributo in atti di convegno) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Alternative label
  • Laurent Moccozet, Fabien Dellas, Nadia Magnenat-Thalmann, Silvia Biasotti, Michela Mortara, Bianca Falcidieno, Patrick Min, Remco Veltkamp (2004)
    Animatable Human Body Reconstruction from 3D Scan Data using Templates
    in Workshop on Modelling and Motion Capture Techniques for Virtual Environments, Zermatt, Switzerland, 9-11 December 2004
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Laurent Moccozet, Fabien Dellas, Nadia Magnenat-Thalmann, Silvia Biasotti, Michela Mortara, Bianca Falcidieno, Patrick Min, Remco Veltkamp (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings Workshop on Modelling and Motion Capture Techniques for Virtual Environments (CapTech 2004) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriCuratela
  • Moccozet L., Dellas F., Magnenat-Thalmann N., Biasotti S., Mortara M., Falcidieno B., Min P., Veltkamp R. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Zermatt, Switzerland, December 2004 (literal)
Note
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • MIRALab, University of Geneva, Switzerland CNR-IMATI,Genova Italy Dept. of Computer Science, Utrecht University, the Netherlands (literal)
Titolo
  • Animatable Human Body Reconstruction from 3D Scan Data using Templates (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana
  • Proc. CapTech Workshop on Modelling and Motion Capture Techniques for Virtual Environments (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • N.M. Thalmann, D. Thalmann (literal)
Abstract
  • Many detailed 3D datasets of human bodies are available, and with current scanning technology, new ones are relatively easy to produce. As a result, more realistic looking animations become possible, but only after considerable processing: holes in the data, (too) high resolutions, and the laborious task of ?tting an animation skeleton to the data are the main problems to overcome. In this paper, we propose a reconstruction pipeline which solves these three problems by ?tting a template with surface and animation information to the scanned data. A correspondence between the scanned data and the template is set manually, with the aid of a tool that identi?es and visualises landmarks (characteristic points) on the mesh. Holes are handled using a ”vertex con?dence weight” scheme, with low weights assigned to vertices in or near holes (implying higher weights to template vertices, and vice versa). Initial tests on two detailed 3D human body scans produced highquality closed surface meshes, which are directly animatable. (literal)
Editore
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Autore CNR di
Prodotto
Editore di
Insieme di parole chiave di
data.CNR.it