3D Restructuring and Splicing Technology of Shape Space Frame

Ying Min Cui; Hai Wang; Jian Zhang

doi:10.4028/www.scientific.net/AMM.644-650.1438

Paper Titles

Experimental Study of Nozzle Characteristics by Drainage Method
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A Novel Method with Good Repeatability and Stability for Calibrating Milliampere-Second Meter
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The Influence of High-Frequency Phase of Laser Wavefront on the Distribution of Focal Spot
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3D Restructuring and Splicing Technology of Shape Space Frame
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Temporal Spectra Behavior in Femtosecond LIBS of Marine Water
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Study on Temperature between the Testee and the Bed on Ergonomics
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Semiconductor Quantum Dot Photodetector for High Speed Space Optical Communication
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-6503D Restructuring and Splicing Technology of Shape...

3D Restructuring and Splicing Technology of Shape Space Frame

Abstract:

The 3D Shape Measuring Technology for physical objects has wide application in fields covering automatic detection, physical object profile modelling, automatic production, computer aided design/manufacturing and quality control, etc. Through the matching relations of several feature points between the partial 3D scanning point cloud data and the space frame, the transformation relations between different coordinate systems can be inferred. As for the inferring of the transformation parameters R and T, the SVD matrix decomposition algorithm has been used to acquire a better precision solution. According to the transformation relation, after registering the partial 3D scanning point cloud data and the space frame, through splicing the partial scanning point cloud data and the space frame data, the detection across the whole field on large-area objects can be realized, which will effectively increase the precision of three-dimensional measuring of large-area objects.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1438-1442

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1438

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Online since:

September 2014

Authors:

Ying Min Cui*, Hai Wang, Jian Zhang

Keywords:

3D Measurement, Data Connection, Measured, SVD Matrix Decomposition

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