Machine Vision and Data Reconstruction for Measuring Free Form Surface

Hong Wei Zhang; Guo Xiong Zhang; Y. Shi

doi:10.4028/www.scientific.net/MSF.471-472.508

Paper Titles

A Study on Computer Simulation of Plastic Lens Molding Process
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Design of High Precision Power Supply for Low-Frequency Vibration Cutting
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Wrinkling Limit Based on FEM Virtual Experiment during NC Bending Process of Thin-Walled Tube
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Forming Defects Analysis of Auto-Panel Stamped Part with Experimental Strain Approach
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Machine Vision and Data Reconstruction for Measuring Free Form Surface
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Development of an Internet-Based Interactive Globoidal Indexing Cam Mechanisms Design System
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Time Series Model Study on the NC Grinding Process of Isometric Polygonal Profile
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Investigational Advances in Residual Stresses by Hard Turning
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Pneumatic Proportional Position Control System Based on BP Neural Networks
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HomeMaterials Science ForumMaterials Science Forum Vols. 471-472Machine Vision and Data Reconstruction for...

Machine Vision and Data Reconstruction for Measuring Free Form Surface

Abstract:

Reverse engineering of free-form surfaces is one of the most challenging technologies in advanced manufacturing. With the development of industry more and more sculptured surfaces, such as molds and turbine blades, are required to measure quickly and accurately. Optical non-contact probes possess many advantages, such as high speed, no measuring force, in comparison with contact ones. The ability of stereovision probe with CCD cameras in gathering a large amount of information simultaneously makes it the most popularly used one in sculptured surface measurements. So based on the laser triangular principle, a measuring and testing device with two CCD cameras was designed, and its accuracy was analyzed. With a virtual 3D target in form of a grid plate, all the intrinsic and extrinsic parameters of CCD camera including the uncertainty of image scale factor and optical center of camera can be readily calibrated. In order to obtain all the required data with high accuracy in a short time, the curvature-based adaptive sampling strategy is presented. Due to huge amount of arbitrary scattered points, the Delaunay triangular division and Bezier interpolation and NURBS interpolation are applied to get a continuous surface.