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