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Research and Application of 3D Point Cloud Registration Technology

Author: LvZongBao
Tutor: HuangFengGang
School: Harbin Engineering University
Course: Applied Computer Technology
Keywords: Reverse Engineering Machine Vision Error Analysis Registration ICP Algorithm
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 416
Quote: 1
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Abstract


Reverse Engineering(RE) is a combination of analytical methods and applied technologies to absorb advanced technologies. By means of RE, manufacturing industry of our country will be based on a higher benchmark. So it is significative to study RE and develop reverse engineering system independently.The 3D scanning measurement system is based on the structure light scanning binocular vision measurement of machine vision diffraction grating code principle technology. Careful choosing and designing the hardware systems of 3D scanning measurement system and detailed elaborating essential technology algorithm and its achievement in measurement system error analysis software. This error analysis is divided into three technologies unit: the reading and demonstration of 3D data format, the pre-registration of 3D graph based on collecting point and the full registration of three dimensional graphs based on ICP algorithm, and the obtaining and color display of error value.The error analysis part is an important link of the 3D scanning measurement system. This paper discusses such technology as man-machine interactive contact surface collecting, multi-vision data’s justify and localization, error value obtaining of different 3D data. This paper studies a kind of rapid collecting point technology "based on orthogonal projection method" and made the improvement to the ICP algorithm. Finally summarizes the work that has done and forecast the prospects of reverse engineering technology.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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