Huang Wenming

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
For the over data density of point cloud that greatly affects the model reconstruction efficiency, a nonuniform simplification algorithm for point cloud with normal is presented. At first, kd-tree is used to represent the spatial topology relationships among the point cloud. According to the point density and expectative k-nearest neighbors, the radius of(More)
The capacity of single server or CPU is unable to finish the task of the mining of mass data. In consideration of this bottleneck problem, a combined algorithm which is used by genetic and MR-based parallel clustering algorithm is proposed. To make up for the defects of clustering analysis in screening the clustering center, the clusters are used by genetic(More)
  • 1