Automatic recognition for the position and orientation of parts in intelligent CMMs

Xinhui Ma, Guoxiong Zhang, Jianli Wang, Shugui Liu

Research output: Contribution to journalArticle

Abstract

A method for automatic recognition of the position and orientation of parts based on machine vision and CAD 3D model is proposed. Virtual image matching is used to confirm the position and orientation of the part. By perspective imagery,virtual images of the CAD 3D model are produced according to each pose of the part. Real image generated by CCD camera is matched with virtual images of the part. The result of matching is used to confirm the relation of the part coordinates and the machine coordinates. This method is implemented on 3D coordinate measuring machines. Experiments are given to verify the method and its precision is analyzed.
Original languageEnglish
Pages (from-to)165-170
Number of pages6
JournalYi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
Volume24
Issue number2
Publication statusPublished - 2003

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Coordinate measuring machines
Computer aided design
Image matching
computer aided design
CCD cameras
Computer vision
computer vision
imagery
Experiments

Cite this

Ma, Xinhui ; Zhang, Guoxiong ; Wang, Jianli ; Liu, Shugui. / Automatic recognition for the position and orientation of parts in intelligent CMMs. In: Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument. 2003 ; Vol. 24, No. 2. pp. 165-170.
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Automatic recognition for the position and orientation of parts in intelligent CMMs. / Ma, Xinhui; Zhang, Guoxiong; Wang, Jianli; Liu, Shugui.

In: Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, Vol. 24, No. 2, 2003, p. 165-170.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Automatic recognition for the position and orientation of parts in intelligent CMMs

AU - Ma, Xinhui

AU - Zhang, Guoxiong

AU - Wang, Jianli

AU - Liu, Shugui

PY - 2003

Y1 - 2003

N2 - A method for automatic recognition of the position and orientation of parts based on machine vision and CAD 3D model is proposed. Virtual image matching is used to confirm the position and orientation of the part. By perspective imagery,virtual images of the CAD 3D model are produced according to each pose of the part. Real image generated by CCD camera is matched with virtual images of the part. The result of matching is used to confirm the relation of the part coordinates and the machine coordinates. This method is implemented on 3D coordinate measuring machines. Experiments are given to verify the method and its precision is analyzed.

AB - A method for automatic recognition of the position and orientation of parts based on machine vision and CAD 3D model is proposed. Virtual image matching is used to confirm the position and orientation of the part. By perspective imagery,virtual images of the CAD 3D model are produced according to each pose of the part. Real image generated by CCD camera is matched with virtual images of the part. The result of matching is used to confirm the relation of the part coordinates and the machine coordinates. This method is implemented on 3D coordinate measuring machines. Experiments are given to verify the method and its precision is analyzed.

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EP - 170

JO - Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument

JF - Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument

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ER -