Light Pen Calibration for a Monocular-Vision-Based Coordinate Measuring System

A monocular-vision-based coordinate measuring system obtains the 3-D coordinate via calculating the position of a light pen in camera coordinate system which is disturbed seriously by the locational precision of target points. In this paper, a concise onsite light pen calibration method is proposed. It includes three steps. First, the intrinsic and extrinsic camera parameters are estimated from several views of a known calibration pattern and then the target points are placed on the plane at the last view. Second, the captured image with target points is projected onto a canonical fronto-parallel plane using the extrinsic parameters above. And feature detection is executed on the canonical fronto-parallel plane. As the canonical images have been both undistorted and unprojected, feature of target points can be detected easily and localized precisely. Finally, points on the canonical plane are projected onto 3D plane. The proposed method is conducted in our monocular-vision-based coordinate measuring system. The results confirm the accuracy and effectiveness of the proposed method.

[1]  Shaliang Tang,et al.  Portable Light Pen 3D Vision Coordinate Measuring System- Probe Tip Center Calibration , 2013 .

[2]  Takeo Kanade,et al.  Accurate camera calibration using iterative refinement of control points , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

[3]  Peng Zhao,et al.  Precise perimeter measurement for 3D object with a binocular stereo vision measurement system , 2010 .

[4]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Jing Jin,et al.  High-precision rotation angle measurement method based on monocular vision. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

[6]  Yang Gao,et al.  Noncontact 3-D Coordinate Measurement of Cross-Cutting Feature Points on the Surface of a Large-Scale Workpiece Based on the Machine Vision Method , 2010, IEEE Transactions on Instrumentation and Measurement.

[7]  Jean Ponce,et al.  Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Jean Ponce,et al.  Accurate camera calibration from multi-view stereo and bundle adjustment , 2008, CVPR.

[9]  Timothy F. Cootes,et al.  Feature Detection and Tracking with Constrained Local Models , 2006, BMVC.

[10]  ZhangZhengyou A Flexible New Technique for Camera Calibration , 2000 .

[11]  Charless C. Fowlkes,et al.  Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Liyan Zhang,et al.  A flexible approach to light pen calibration for a monocular-vision-based coordinate measuring system , 2014 .

[13]  Sun Changku Monocular Vision Measurement System of the Position and Attitude of the Object , 2007 .

[14]  Chang Shu,et al.  Self-identifying patterns for plane-based camera calibration , 2008, Machine Vision and Applications.

[15]  Markus C. Knauer,et al.  Phase measuring deflectometry: a new approach to measure specular free-form surfaces , 2004, SPIE Photonics Europe.

[16]  Jean-Nicolas Ouellet,et al.  Precise ellipse estimation without contour point extraction , 2009, Machine Vision and Applications.

[17]  H. Draheim,et al.  Measurement Science and Technology , 1983, 2022 57th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST).

[18]  Xu Chen,et al.  Full-field 3D measurement using multi-camera digital image correlation system , 2013 .

[19]  Shan Liu,et al.  A Portable 3D Vision Coordinate Measurement System Using a Light Pen , 2005 .

[20]  Zhang De-hai Industrial vision measuring system for large dimension work-pieces , 2010 .

[21]  Chi Fang,et al.  Camera Calibration and Improved Computation of Fundamental Matrix in Epipolar Geometry , 2013 .

[22]  Mikko Nuutinen,et al.  Method for measuring stereo camera depth accuracy based on stereoscopic vision , 2011, Electronic Imaging.