Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/35456
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Type: Journal article
Title: Recognition of quadratic surface of revolution using a robotic vision system
Author: Tsai, M.
Hwung, J.
Lu, T.
Hsu, H.
Citation: Robotics and Computer-Integrated Manufacturing, 2006; 22(2):134-143
Publisher: Pergamon-Elsevier Science Ltd
Issue Date: 2006
ISSN: 0736-5845
Statement of
Responsibility: 
Ming J. Tsai, Jia H. Hwung, Tien-Fu Lu and Hung-Yao Hsu
Abstract: Reverse engineering using 3D scanners has been gaining increasing popularity. One challenging task that remains is to recognize the geometric feature from the cloud data scanned. In this study, a robotic vision system is used to recognize quadratic surfaces of revolution on an object. The top-view image of an object is used to detect the surface boundary by loop analysis technique. The boundary of a single surface is extracted according to the 2D loop of that surface. The robot then projects laser lines through the principal axes of the loop to get the sectional curves. The surface is recognized by a curve-fitting method based on the characteristics of these curves. This study provides a simple and faster method to detect the manufacture features on an object that contains quadratic surfaces. The data structure can be output in IGES format for re-design or rapid manufacture of the object.
Keywords: Reverse engineering; Robotic vision; Feature recognition; Quadratic surface; Curve fitting; Image process
RMID: 0020062521
DOI: 10.1016/j.rcim.2005.02.008
Description (link): http://www.elsevier.com/wps/find/journaldescription.cws_home/704/description#description
Appears in Collections:Mechanical Engineering publications

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