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Error Analysis And Control Based On The Markers Registration

Posted on:2016-05-01Degree:MasterType:Thesis
Country:ChinaCandidate:R H WangFull Text:PDF
GTID:2308330461959249Subject:Detection Technology and Automation
Abstract/Summary:
Based on the theory of space point from the same tag point splicing technology can get high precision fast splicing three-dimensional point cloud data in the process of 3d scanning measurement. For current error of multi-view registration is relatively large, registration is not stable based on marked point. 3D scanning measurement based on markers in splicing error system is analy zed, and it’s put forward the corresponding method of controlling the error has important theoretical significance and practical application value in the field of 3d scanning measurement.Firstly, the registration of marked point process and key technolog y is analyzed in binocular vision measurement. Then through the theoretical analysis and simulation experiment could determine the introduction of the main steps of error, namely the main steps of error sources in the marked points extraction are accuracy and camera calibration.Secondly,in the traditional edge detection was based on Canny operator to realize the marked points on the basis of the increase is improved based on the Zernike moment sub-pixel edge detection to get more precise edge pixel level data. After ellipse fitting edge data, remove the edge points of error ellipse fitting again, then straight to the end of the range in the allowable error. Ultimately, obtain accurate markers in center coordinates.Thirdly, space point coordinate transformation is used to calculating the joining together of more apparent matrix. So for the high accuracy requirement of space point, accord to the principle of binocular vision rebuilding, determine d the reconstruction accuracy is within and outside the parameters of binocular cameras. Distort for binocular camera calibration parameters optimization and using reverse projection residual LM optimizer for binocular camera as a whole, high calibration data. In order to make the mark point reconstruction precision is higher, the precision and stability of the overall are ascension together.Finally, in order to verify the feasibility and accuracy, builds binocular vision measurement system experimental platform. Though numerical simulation and experiments, make the final accuracy is 0.02 mm.
Keywords/Search Tags:binocular vision, marked points registration, edge detection, ellipse fitting, camera calibration
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