http://www.cnr.it/ontology/cnr/individuo/prodotto/ID204224
Temporal denoising of Kinect depth data (Contributo in atti di convegno)
- Type
- Label
- Temporal denoising of Kinect depth data (Contributo in atti di convegno) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/SITIS.2012.18 (literal)
- Alternative label
Kyis Essmaeel, Luigi Gallo, Ernesto Damiani, Giuseppe De Pietro, Albert Dipanda (2012)
Temporal denoising of Kinect depth data
in Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on, Naples, Italy
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Kyis Essmaeel, Luigi Gallo, Ernesto Damiani, Giuseppe De Pietro, Albert Dipanda (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on (literal)
- Note
- Google Scholar (literal)
- EEE Xplore digital library (literal)
- ISI Web of Science (WOS) (literal)
- BL (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- ICAR-CNR, ICAR-CNR, University of Milan, ICAR-CNR, CNRS (literal)
- Titolo
- Temporal denoising of Kinect depth data (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4673-5152-2 (literal)
- Abstract
- The release of the Microsoft Kinect has attracted the attention of researchers in a variety of computer science domains. Even though this device is still relatively new, its recent applications have shown some promising results in terms of replacing current conventional methods like the stereo-camera for robotics navigation, multi-camera system for motion detection and laser scanner for 3D reconstruction. While most work around the Kinect is on how to take full advantage of its capabilities, so far only a few studies have been carried out on the limitations of this device and fewer that provide solutions to enhance the precision of its measurements. In this paper, we review and analyse current work in this area, and present and evaluate a temporal denoising algorithm to reduce the instability of the depth measurements provided by the Kinect over different distances. (literal)
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