NDLI: Point cloud registration in shoe glue spraying line

Content Provider	IEEE Xplore Digital Library
Author	Huixiong Zeng Jun Li
Copyright Year	2015
Description	Author affiliation: Quanzhou Inst. of Equip. Manuf., Quanzhou, China (Huixiong Zeng; Jun Li)
Abstract	We studied the high-precision registration method with a pair of shoes sole and vamp point cloud to gain the automatic shoe glue spraying line. A new method was suggested in the case that the point cloud pair doesn't overlap completely and the initial positions are always different. Firstly the singular value decomposition algorithm was used for the rough registration such that the direction of the point cloud pair was the same and the distance of the point cloud pair was close to each other. Then the iterative closest point algorithm was applied to the high-precision registration. Lastly the local deformation of the sole contour points was derived by Bezier curve algorithm according to the requirement of the actual production. Actual test results presented the effectively of the method that the requirement of the glue spraying production line was satisfied.
Starting Page	5691
Ending Page	5695
File Size	827577
Page Count	5
File Format	PDF
ISBN	9789881563897
ISSN	19341768
DOI	10.1109/ChiCC.2015.7260528
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Technical Committee on Control Theory, Chinese Association of Automation
Subject Keyword	Point cloud registration Singular Value Decomposition Iterative Closest Point Three-dimensional displays Bezier curve algorithm Iterative closest point algorithm Fitting Spraying Footwear Production Singular value decomposition
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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