DocumentCode :
3448550
Title :
Non-contact measurement of object based on binocular stereo vision
Author :
Gui-ji Tang ; Tao Peng
Author_Institution :
Mech. Eng. Dept., North China Electr. Power Univ., Baoding, China
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
267
Lastpage :
270
Abstract :
This paper proposed a solution in view of the non-contact measurement problem. In this solution, the camera is applied in the non-contact 3D measurement. Firstly, we complete the camera calibration, and then the feature point extraction and matching in turn based on the epipolar constraint criterion and gray similarity. Finally we calculate the three-dimensional coordinates of the feature points. The experimental results show that this method has a good application prospects in the industrial testing field.
Keywords :
feature extraction; image matching; image sensors; object detection; stereo image processing; binocular stereo vision; camera calibration; feature point extraction; feature point matching; feature points; gray similarity; noncontact 3D measurement; noncontact measurement; object detection; Calibration; Cameras; Coordinate measuring machines; Equations; Image segmentation; Mathematical model; Symmetric matrices; Boundary tracking; Image matching; Measurement; Non-contact;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
Type :
conf
DOI :
10.1109/CISP.2012.6469966
Filename :
6469966
Link To Document :
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