Point data reduction technique in reverse engineering;

In order to increase calculation speed of reconstruction, reduce memory space, and, at the same time, emphasize modelling characteristics, a method of data reduction with triangular folding was proposed by using triangular meshes model and ordering function on the basis of analysis of data reduction method available.

In order to reduce the data point-cloud of auto panel die’s surface acquired by non-contact 3D measurement, a kind of data reduction method is presented based on the average point-to-point distance principle.

Study on data reduction and rules discovery based on convex Rough set;

Study on the Building Checks Price Based on Data Reduction;

Data Reduction and the Application in Auditing of the Social Security Network;

The proposal of data reduction is to make data sets smaller but preserves classification structures of interest.

Attribute oriented generalization (AOG) can be used in data reduction.

Based on the antibody clonal selection theory, an immune clonal data reduction algorithm is proposed for instance selection problems of data reduction.

Ground-based LIDAR data simplification based on quad-tree partition;

With this system,a color edge extraction algorithm for 3D color data was proposed based on the processing of the 2D color image got from color sensor,which can avoid color distortion during the data simplification process.

Th is paper studies the application of wavelets analysis in data simplification of 3D terrain.

Research on data simplification for point cloud in surface reconstruction

Key of the data simplification technology is while at the same time of simplifying the data to reserve the original characteristics of point cloud data to the largest extent.

This paper discusses several problems in non-contacted three-dimensional scanning measurement data processing,such as noise points deleting,distortion point searching,data simplification and smooth processing,point cloud data registration and integration.