TY - GEN
T1 - 3-D Dimension Measurement of Workpiece Based on Binocular Vision
AU - Wang, Jiannan
AU - Ma, Hongbin
AU - Li, Baokui
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - In this paper, the three-dimensional measurement of workpiece is studied, and the left and right images of the target workpiece are captured by binocular camera. Firstly, the calibration principle and theoretical model of binocular camera are studied in detail, and the calibration of inside and outside parameters of left and right cameras is completed under the environment of Matlab. Secondly, Hough transform is used to detect the contour of the target workpiece after image pre-processing such as filtering, graying and binarization, and to extract its two-dimensional feature point information. Then, on the basis of epipolar rectification, there is only lateral parallax between left and right images, and Block Matching (BM) algorithm is used for stereo matching of relative images. After that, the depth information of the pixels is extracted from the disparity map obtained by stereo matching, and the dimension of the workpiece is measured by combining the two-dimensional feature point information extracted by Hough transform and the three-dimensional Euclidean distance calculation formula. Finally, the experimental results show the validity of the proposed three-dimensional measurement results based on binocular vision.
AB - In this paper, the three-dimensional measurement of workpiece is studied, and the left and right images of the target workpiece are captured by binocular camera. Firstly, the calibration principle and theoretical model of binocular camera are studied in detail, and the calibration of inside and outside parameters of left and right cameras is completed under the environment of Matlab. Secondly, Hough transform is used to detect the contour of the target workpiece after image pre-processing such as filtering, graying and binarization, and to extract its two-dimensional feature point information. Then, on the basis of epipolar rectification, there is only lateral parallax between left and right images, and Block Matching (BM) algorithm is used for stereo matching of relative images. After that, the depth information of the pixels is extracted from the disparity map obtained by stereo matching, and the dimension of the workpiece is measured by combining the two-dimensional feature point information extracted by Hough transform and the three-dimensional Euclidean distance calculation formula. Finally, the experimental results show the validity of the proposed three-dimensional measurement results based on binocular vision.
KW - Binocular vision
KW - Camera calibration
KW - Stereo matching
KW - Three-dimensional measurement
UR - http://www.scopus.com/inward/record.url?scp=85070657448&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-27532-7_35
DO - 10.1007/978-3-030-27532-7_35
M3 - Conference contribution
AN - SCOPUS:85070657448
SN - 9783030275310
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 392
EP - 404
BT - Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings
A2 - Yu, Haibin
A2 - Liu, Jinguo
A2 - Liu, Lianqing
A2 - Liu, Yuwang
A2 - Ju, Zhaojie
A2 - Zhou, Dalin
PB - Springer Verlag
T2 - 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019
Y2 - 8 August 2019 through 11 August 2019
ER -