Scene analysis for automatic object segmentation and view suggestion in assisted multi-view stereo reconstruction (Abstract/Poster in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Abstract/Poster in atti di convegno (Classe)

Label

• Scene analysis for automatic object segmentation and view suggestion in assisted multi-view stereo reconstruction (Abstract/Poster in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Alternative label

• Cavarretta E., Dellepiane M., Cignoni P. Scopigno R. (2013)
  Scene analysis for automatic object segmentation and view suggestion in assisted multi-view stereo reconstruction
  in CGLibs: Smart Libraries for Computer Graphics (2013), Pisa, 3 Giugno 2013
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Cavarretta E., Dellepiane M., Cignoni P. Scopigno R. (literal)

Pagina inizio

• 2 (literal)

Pagina fine

• 2 (literal)

Note

• PuMa (literal)
• Abstract (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy. (literal)

Titolo

• Scene analysis for automatic object segmentation and view suggestion in assisted multi-view stereo reconstruction (literal)

Abstract

• Multi-view stereo reconstruction methods can provide impressive results in a number of applications. Nevertheless, when trying to apply the state-of-the-art methods in the case of a more structured 3D acquisition, the lack of feedback on the quality of the reconstruction during the photo shooting can be problematic. In this poster we present a framework for the assisted reconstruction from images of real objects. In particular, the framework is able to separate the object of interest from the background and suggests missing points of view to the user, without any previous knowledge of the shape of the scene and the acquisition path. This is obtained by analyzing the sparse reconstruction and the connection between the reconstructed points and the input images. The framework has been tested on a variety of practical cases, and it has proved to be effective not only to obtain more complete reconstructions, but also to reduce the number of images needed and the processing time for dense reconstruction. (literal)

Prodotto di

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Visualizzazione 3D e Interazione Uomo-Macchina (ICT.P10.013.001) (Modulo)

Autore CNR

• Emanuele Cavarretta (Unità di personale esterno)
• PAOLO CIGNONI (Unità di personale interno)
• MATTEO DELLEPIANE (Persona)
• ROBERTO SCOPIGNO (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Scene analysis for automatic object segmentation and view suggestion in assisted multi-view stereo reconstruction" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Visualizzazione 3D e Interazione Uomo-Macchina (ICT.P10.013.001) (Modulo)

Autore CNR di

• ROBERTO SCOPIGNO (Unità di personale interno)
• PAOLO CIGNONI (Unità di personale interno)
• MATTEO DELLEPIANE (Persona)
• Emanuele Cavarretta (Unità di personale esterno)

Insieme di parole chiave di

• Keywords of "Scene analysis for automatic object segmentation and view suggestion in assisted multi-view stereo reconstruction" (Insieme di parole chiave)