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Accurate Dimensional Measurement of 3D Round Holes Based on Stereo Vision

Authors: Zhiguo Ren, Lilong Cai


This paper present an effective method to accurately reconstruct and measure the 3D curve edges of small industrial parts based on stereo vision. To effectively fit the curve of the measured parts using a series of line segments in the images, a strategy from coarse to fine is employed based on multi-scale curve fitting. After reconstructing the 3D curve of a hole through a curved surface, its axis is adjusted so that it is parallel to the Z axis with least squares error and the dimensions of the hole can be calculated on the XY plane easily. Experimental results show that the presented method can accurately measure the dimensions of round holes through a curved surface.

Keywords: stereo vision, curve fitting, Least Squares Error

Digital Object Identifier (DOI):

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