Multi-Scale Analysis Based Curve Feature Extraction in Reverse Engineering

1 Introduction The process of reconstructing CAD model froman existing part is reverse engineering,composed of foursteps ,digitizing,data processing,feature extraction, CAD model reconstruction1].Feature extraction has re-ceived extensive researchinthe past .Byfeature extraction,laser scanning point data of anexisting part is divid-ed.Based on the piecewise point data ,feature type is detected. Feature extraction has two key technologies :feature segmentation and feature classification.Fe…

Multi-Scale Analysis Based Curve Feature Extraction in Reverse Engineering

A sectional curve feature extraction algorithm based on multi-scale analysis is proposed for reverse engineering. The algorithm consists of two parts: feature segmentation and feature classification. In the first part,curvature scale space is applied to multi-scale analysis and original feature detection. To obtain the primary and secondary curve primitives,feature fusion is realized by multi-scale feature detection information transmission. In the second part: projection height function is presented based on the area of quadrilateral,which improved criterions of sectional curve feature classification. Results of synthetic curves and practical scanned sectional curves are given to illustrate the efficiency of the proposed algorithm on feature extraction. The consistence between feature extraction based on multi-scale curvature analysis and curve primitives is verified.