Research on Surface Reconstruction from 3D Scattered Points
Fu Yan, Zhai Jin Lei
Journal of Data Processing , Vol. 6, No. 4, 2016.
DOI: 
Link: http://www.dline.info/jdp/fulltext/v6n4/jdpv6n4_1.pdf
Abstract:
The Power Crust algorithm is widely used in the 3D reconstruction. But when we directly use it 
in the process of reconstruction, there are some problems, such as the large calculating quantity 
and poor denoising ability, etc. This paper puts forward a new method to solve the problems of the 
Power Crust algorithm. In stage I, we use the KD tree algorithm to get every pointâ€™s neighborhood 
information within the points cloud. In stage II, we use the Laplace method to denoise the points 
sets. In stage III, we use the neighborhood average method to simplify the points sets when the points 
are too many. At last, we use the Power Crust algorithm to accomplish the reconstruction. The result is 
a 3D  model constructed from the simplifying points sets. In addition, compared with the previous method, 
this paperâ€™s method systematically solves the denoising problem and simplifies the points cloud. It has a 
fast reconstruction speed and a good reconstruction model.