3D Point Cloud Sensors for Low-cost Medical In-situ Visualization (Contributo in atti di convegno)

Type
Label
  • 3D Point Cloud Sensors for Low-cost Medical In-situ Visualization (Contributo in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/BIBMW.2011.6112435 (literal)
Alternative label
  • Alessio Pierluigi Placitelli, Luigi Gallo (2011)
    3D Point Cloud Sensors for Low-cost Medical In-situ Visualization
    in Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on, Atlanta, GA, USA
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Alessio Pierluigi Placitelli, Luigi Gallo (literal)
Pagina inizio
  • 596 (literal)
Pagina fine
  • 597 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on (literal)
Note
  • Scopu (literal)
  • DBL (literal)
  • Google Scholar (literal)
  • ACM (literal)
  • EEE Xplore digital library (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ICAR-CNR, ICAR-CNR (literal)
Titolo
  • 3D Point Cloud Sensors for Low-cost Medical In-situ Visualization (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4577-1612-6 (literal)
Abstract
  • Medical in-situ visualization deals with the display of patient specific imaging data at the location where they actually are. To be effective, it requires high end I/O devices, and computationally expensive and time-consuming algorithms. In this paper, we explore the potential simplifications derived from the use of 3D point cloud sensors in medical augmented reality applications by designing a low-cost system that takes advantage of depth data to apply medical imagery to live video streams of patients. (literal)
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