The model reconstruction based on measuring point-sets is a key step in the reverse engineering

it is quite necessary to simplify the measuring point-sets and analyze the reconstruction error in order to improve the reconstruction precision and the reconstruction efficiency and provide essential information for the model reconstruction. In this paper

a new simplification algorithm for measuring point-sets is realized firstly

and then a novel method for reconstruction error analysis where the simplified point-set is fitted by an implicit surface based on compactly supported radial basis function is presented. The experimental results show that the simplification algorithm has higher efficiency and better effect

the error analysis results based on implicit surface can restrict simplification quantity within the limitation of reconstruction precision.