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Feature Recognition and Segmentation via Z-map in Reverse Engineering  

김재현 (영남대학교 대학원 기계공학과)
신양호 (영남대학교 대학원 기계공학과)
박정환 (영남대학교 기계공학부)
고태조 (영남대학교 기계공학부)
유우식 (인천대학교 산업공학과)
Publication Information
Journal of the Korean Society for Precision Engineering / v.20, no.2, 2003 , pp. 176-183 More about this Journal
Abstract
The paper presents a feature recognition and segmentation method for surface approximation in reverse engineering. Efficient digitizing plays an important role in constructing a computational surface model from a physical part-surface without its CAD model on hand. Depending on its measuring source (e.g., touch probe or structured light), each digitizing method has its own strengths and weaknesses in terms of speed and accuracy. The final goal of the research focuses on an integration of two different digitizing methods: measuring by the structured light and that by the touch probe. Gathering bulk of digitized points (j.e., cloud-of-points) by use of a laser scanning system, we construct a coarse surface model directly from the cloud-of-points, followed by the segmentation process where we utilize the z-map filleting & differencing to trace out feature boundary curves. The feature boundary curves and the approximate surface model could be inputs to further digitizing by a scanning touch probe. Finally, more accurate measuring points within the boundary curves can be obtained to construct a finer surface model.
Keywords
Reverse Engineering; Z-map; Feature; Segmentation;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
연도 인용수 순위
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