http://www.cnr.it/ontology/cnr/individuo/prodotto/ID57913
Profile detection by projection of coloured patterns (Articolo in rivista)
- Type
- Label
- Profile detection by projection of coloured patterns (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1117/12.725090 (literal)
- Alternative label
Fontani D., Francini F., Sansoni P., Jafrancesco D., Mercatelli L. (2007)
Profile detection by projection of coloured patterns
in Proceedings of SPIE
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Fontani D., Francini F., Sansoni P., Jafrancesco D., Mercatelli L. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- 18th International Conference on Photonics in Europe - Laser2007 World of Photonics 18-21 June 2007 in Munich (literal)
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR - Istituto Nazionale di Ottica Applicata, Largo E. Fermi 6, 50125 Firenze, Italy (literal)
- Titolo
- Profile detection by projection of coloured patterns (literal)
- Abstract
- The paper presents a study to detect the three-dimensional profile of an object using a technique
based on the projection of colour-coded lines. The accessibility at low-cost of projectors and digital
photographic cameras has approved the employment and the development of these techniques. They
provide information concerning the profile through the acquisition of a couple of images. The first
one concerns a reference plane and it is captured only once, while the second one refers to the
object image.
The proposed methodology simplifies the individuation of homologous lines within the two images,
when grating projection techniques are employed. Even though these methods are conceptually very
simple, they are rarely applied because of this difficulty in stating the correspondence between
observed deformation and projected line. The attribution of a different colour to every single line, or
to a set of them, introduces an element useful for their selection.
After the image acquisition, the data pertaining to the profile are extracted examining the image by
means of an algorithm developed in Matlab language for this application. The research work is in
progress beyond the results presented in this paper, which already represent a excellent starting
point for further studies and evolutions of the technique. (literal)
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- Autore CNR
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