3d Scanner Point Cloud Denoising By Near Points Surface Fitting

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F13%3A00205795" target="_blank" >RIV/68407700:21110/13:00205795 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1117/12.2020254" target="_blank" >http://dx.doi.org/10.1117/12.2020254</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2020254" target="_blank" >10.1117/12.2020254</a>

Result language
angličtina
Original language name
3d Scanner Point Cloud Denoising By Near Points Surface Fitting
Original language description
The data obtained by 3D scanners with required higher accuracy and density contain disturbing noise, this noise makes the data processing, mainly by means of triangulated irregular networks using automated procedures, more complicated. The paper presentsa new method of noise reduction based on natural redundancy of continuous objects and surfaces where, however, some deformation of the object shape occurs. The method involves a gradual choice of a selected number of the nearest points for each point ofa scan, a selected surface is fitted with them and by the elongation or shortening of a beam with a given horizontal direction and the zenith angle onto the intersection with the surface a new (smoothed) position of the points is obtained. As the surface for fitting are used plane, polynomials of 2nd, 3rd and 4th degree. For the better calculation stability Chebyshev bivariant orthogonal polynomials are used. These surfaces are complemented by method using the mean. The solution of surf
Czech name
—
Czech description
—

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Videometrics, Range Imaging and Applications XII; and Automated Visual Inspection
ISBN
978-0-8194-9607-2
ISSN
0277-786X
e-ISSN
—
Number of pages
15
Pages from-to
—
Publisher name
SPIE
Place of publication
Bellingham (stát Washington)
Event location
Munich
Event date
May 14, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000323508900009

Similar results(10)