The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008 
(b) (c) 
Figure 7 Data after Accurate Registration 
(a) Data of girder without layered 
(b) Data of pillar without layered 
(c) Data of wall without layered 
Figure 8 Data before Redundancy Elimination and after 
Redundancy Elimination 
5. CONCLUSIONS 
To conclude, accurate registration and redundancy elimination 
for point clouds is the first step in the data processing of 3D 
Laser Scanning. The accuracy and the efficiency of the 3D 
modelling ^ surface reconstruction and data analyzing is 
directly decided by this step. By using this algorithms proposed 
above, the relative valid points in each station are remained. 
The maximum accuracy of the original data is kept, and the 
redundant data are eliminated. It provides ideal data for the 
following work of the data processing of 3D Laser Scanning. 
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ACKNOWLEDGEMENTS 
Funding Project for Academic Human Resources Development 
in Institutions of Higher Learning Under the Jurisdiction of 
Beijing Municipality, PHR (IHLB)-1000162006221