A Kinect NUI for 3D Medical Visualization (Manufatti, prototipi d'arte e relativi progetti)

Type

• Prodotto della ricerca (Classe)
• Manufatti, prototipi d'arte e relativi progetti (Classe)

Label

• A Kinect NUI for 3D Medical Visualization (Manufatti, prototipi d'arte e relativi progetti) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Alternative label

• Luigi Gallo, Alessio Pierluigi Placitelli, Giuseppe De Pietro (2012)
  A Kinect NUI for 3D Medical Visualization
  
  (literal)

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

• Luigi Gallo, Alessio Pierluigi Placitelli, Giuseppe De Pietro (literal)

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

• http://gesture.chalearn.org/dissemination/icpr2012/demonstration-competition (literal)

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

• CHALEARN Gesture Demonstration Competition at the 21st International Conference on Pattern Recognition (ICPR 2012) (literal)

Note

• Prototipi d'arte e relativi progetti (literal)

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

• ICAR-CNR, ICAR-CNR, ICAR-CNR (literal)

Titolo

• A Kinect NUI for 3D Medical Visualization (literal)

Descrizione sintetica

• Winner of the Second Place Award. Demonstrated at the CHALEARN Gesture Demonstration Competition, in conjunction with the 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba International Congress Center, Tsukuba Science City, Japan, November 10-11, 2012. Organizers: Isabelle Guyon, Vassilis Athitsos. Judges: Alex Balan, Hugo Jair Escalante, Paul Doliotis, Jeffrey Margolis. (literal)

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

• Isabelle Guyon, Vassilis Athitsos (literal)

Abstract

• This proposal introduces a natural user interface (NUI) that allows users to rotate with 3 degrees of freedom, point to and crop 3D reconstructions of anatomical parts by using a Kinect as the only input device. The NUI is built upon a view-independent hand pose recognition module, which allows to recognize a limited set of pre-defined postures from single, low resolution depth images. We use principal component analysis to estimate the hand orientation in space, Flusser moment invariants as image features for visual recognition and a multiclass Support Vector Machine to classify the features extracted to a limited set of predefined static hand postures. (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)
• Metodologie e tecniche ICT per l'e-health (INT.P02.014.001) (Modulo)

Autore CNR

• GIUSEPPE DE PIETRO (Unità di personale interno)
• LUIGI GALLO (Persona)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• Metodologie e tecniche ICT per l'e-health (INT.P02.014.001) (Modulo)

Autore CNR di

• GIUSEPPE DE PIETRO (Unità di personale interno)
• LUIGI GALLO (Persona)