Filtration of point cloud using k-nearest neighbor algorithm

• Autorzy: Michalski P.
• Języki publikacji: EN

Abstrakty

EN

The paper prescnls the results obtained from the dcveloped software that allows to perlonu point cloud filtralion using k ncarest neighbor algorithm. The paper presents the advantages and disadvantages of used method.

• Wydawca: Oficyna Wydawnicza Politechniki Opolskiej
• Czasopismo: Zeszyty Naukowe. Elektryka / Politechnika Opolska
• Rocznik: 2012
• Tom: z. 68
• Strony: 45--46
• Opis fizyczny: Bibliogr. 3 poz., rys.

Twórcy

autor

Michalski P.

• Faculty of Electrical Engineering Automatic Control and Informatics Institute of Electric Power Stations and Measuring Systems

Bibliografia

• [1] LICHTI D.: Spectral filtering and classification of tcrrestrial laser scanner point clouds, The Photogrammetric Record 20(111), 2005, pp, 218-240
• [2] UNNIKRISHNAN R., LALONDE J., VANDAPEL N., MARTIAL H..: Scalc selection for geometrie fitting in noisy point cloud, International Journal of Computational Geometry& Applications, Vol. 20, No. 5,2010, pp. 543-575
• [3] SANKARANARAYANAN J., SAMET H., VARSHNEY A.: A Fast k-Neighborhood Algorithm for Large Poinl-Clouds, Eurographics Symposium on Point-Based Graphics, 2006, pp. 75-84