Study on Fixed Weight Methods in Plane Fitting of Point Clouds Based
on Weighted Total Least Squares
1 Institute of Geo-Spatial Information, Nanjing University of Technology, 30 South-Puzhu Road, Nanjing 210009, China
2 School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Abstract Aiming at the issue of lacking unified fixed weight criterion in plane fitting of point clouds based on weighted total least squares, two methods that prior incident angle weighted and distance weighted are proposed, and three new plane fitting algorithms that robust weighted total least squares based on intensity (RWTLSI), weighted total least squares based on prior incident angle (WTLSPIA-1) and weighted total least squares based on distance (WTLSD) are structured with combining robust estimation. With the various algorithms of weighted total least squares applied to fit plane point clouds data from scanning different reflective material, as examples show, the precision evaluation index of the distance weighted total least square method based on distance weighted method is superior to other algorithms, which win the best fitting effects.
LI Mingfeng,OU Jiangxia,TAN Ding et al. Study on Fixed Weight Methods in Plane Fitting of Point Clouds Based
on Weighted Total Least Squares[J]. jgg, 2015, 35(3): 428-432.
LI Mingfeng,OU Jiangxia,TAN Ding et al. Study on Fixed Weight Methods in Plane Fitting of Point Clouds Based
on Weighted Total Least Squares[J]. jgg, 2015, 35(3): 428-432.