DocumentCode
130044
Title
A method of small-field-of-view and binocular camera calibration by using a wafer
Author
Yulin Lei ; Hong Hu ; Jiayu Xu
Author_Institution
Shenzhen Key Lab. of Adv. Manuf. Technol., Harbin Inst. of Technol., Shenzhen, China
fYear
2014
fDate
28-30 July 2014
Firstpage
478
Lastpage
483
Abstract
The premise condition of the water jet guide laser cutting wafer based on machine vision is to obtain a precise wafer alignment. However, the wafer alignment accuracy is directly affected by the calibration accuracy of the visual system. In this paper, a method of the small-field-of-view and binocular camera calibration is presented for improving the wafer alignment precision and efficiency. The method only requires each camera to observe a wafer with LED substrate at a few (at least three) different unknown orientations, then the five intrinsic parameters can be determined linearly by assuming that the center of the frame as image origin and the two image axes are very perpendicular to each other. The method consists of initializing camera parameters, refining nonlinear parameters by the Levenberg-Marquardt algorithm and the calculating relative position between binocular cameras. In particular, the sub-pixel feature point extraction with more accuracy is obtained by using imaging processing technology. In the end, the simulation and experiment show that the proposed method is accurate.
Keywords
calibration; cameras; computer vision; feature extraction; laser beam cutting; production engineering computing; semiconductor technology; LED substrate; Levenberg-Marquardt algorithm; binocular camera calibration; camera parameters; imaging processing technology; intrinsic parameters; light emitting diode; machine vision; small-field-of-view method; subpixel feature point extraction; wafer alignment efficiency; wafer alignment precision; water jet guide laser cutting wafer; Accuracy; Calibration; Cameras; Mathematical model; Matrix decomposition; Optical distortion; Three-dimensional displays; Camera calibration; Image processing technology; Small-field-of-view; Wafer alignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation (ICIA), 2014 IEEE International Conference on
Conference_Location
Hailar
Type
conf
DOI
10.1109/ICInfA.2014.6932703
Filename
6932703
Link To Document