Intelligent point data reduction in Reverse Engineering

Abstract

Modern systems for 3D-digitization purposed for Reverse Engineering (RE) modeling are featured by increased scanning speed and also by the possibility to generate large number of points in a short time. In general, this improves the efficiency of the RE modeling process. In practice however, a large number of points in the stage of generation of the CAD model may become a serious problem. Therefore, lately considerable attention is focused to the problem of point data reduction in the 3D-digitization results. This paper presents an approach for intelligent point data reduction based on fuzzy logic, along with the results of its practical application.