Issue No. 03 - May-June (2012 vol. 32)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2011.14
Shengjun Liu , Chinese University of Hong Kong
Kwan-Chung Chan , Chinese University of Hong Kong
Charlie C.L. Wang , Chinese University of Hong Kong
Unorganized point clouds obtained from 3D shape acquisition devices usually present noise, outliers, and nonuniformities. A proposed framework consolidates unorganized points through an iterative procedure of interlaced downsampling and upsampling. Selection operations remove outliers while preserving geometric details. The framework improves the uniformity of points by moving the downsampled particles and refining point samples. Surface extrapolation fills missed regions. Moreover, an adaptive sampling strategy speeds up the iterations. Experimental results demonstrate the framework's effectiveness.
unorganized point clouds, repulsion operator, outlier removal, downsampling, upsampling, computer graphics, graphics and multimedia
C. C. Wang, K. Chan and S. Liu, "Iterative Consolidation of Unorganized Point Clouds," in IEEE Computer Graphics and Applications, vol. 32, no. , pp. 70-83, 2011.