http://www.cnr.it/ontology/cnr/individuo/prodotto/ID262208
3-D acquisition and quantitative measurements of anatomical parts by optical scanning and image reconstruction from unorganized range data (Articolo in rivista)
- Type
- Label
- 3-D acquisition and quantitative measurements of anatomical parts by optical scanning and image reconstruction from unorganized range data (Articolo in rivista) (literal)
- Anno
- 2003-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/TIM.2003.818552 (literal)
- Alternative label
Tognola, G., Parazzini, M., Ravazzani, P., Grandori, F., Svelto, C. (2003)
3-D acquisition and quantitative measurements of anatomical parts by optical scanning and image reconstruction from unorganized range data
in IEEE transactions on instrumentation and measurement
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Tognola, G., Parazzini, M., Ravazzani, P., Grandori, F., Svelto, C. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1240187 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- ISI Web of Science (WOS) (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Tognola, G.: Istituto di Ingegneria Biomedica ISIB CNR
Parazzini, M.: Istituto di Ingegneria Biomedica ISIB CNR
Ravazzani, P.: Istituto di Ingegneria Biomedica ISIB CNR
Grandori, F.: Istituto di Ingegneria Biomedica ISIB CNR
Svelto, C.: (literal)
- Titolo
- 3-D acquisition and quantitative measurements of anatomical parts by optical scanning and image reconstruction from unorganized range data (literal)
- Abstract
- A simple method for direct acquisition of a cloud of points from an object surface is presented together with a novel surface reconstruction algorithm used to obtain an explicit three-dimensional (3-D) model for the measured object. This technique is aimed at relatively accurate but simple and reliable 3-D reconstruction of anatomical parts for biomedical applications. A prototype 3-D scanning system is presented: the physical acquisition system and the image reconstruction algorithm are described. Measurements on objects of well-known geometrical features and dimensions are performed in order to assess accuracy and repeatability levels of this 3-D acquisition system. Robustness to noise of the proposed reconstruction algorithm is determined by simulation with synthetic test surfaces. Finally, the first measurements (acquisition + reconstruction) of closed surfaces from human organs are reported. (literal)
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