Practical rotation angle measurement method by monocular vision

A practical vision-based method is proposed to measure single axis rotation angles. Compared with existing angle measurement methods, the proposed method is more practical because of the simple equipment required and an easy installation. Furthermore, unlike most existing methods, the proposed method does not require the rotation axis information at all. The information is calibrated by two-view geometry of the single axis motion. Then, on the basis of the calibration results, an angle estimation algorithm with point matching is proposed. Experiments on synthetic and real images show that the proposed method is robust with respect to image noises and occlusion. A measurement accuracy of less than 0.1° is obtained in real experiments only using a provided camera and a normal printed checkboard. Moreover, a single axis rotation angle measurement MATLAB toolbox is developed, which is available online (http://quanquan.buaa.edu.cn/Anglemeasurementtoolbox.html).

[1]  Paul R. Cohen,et al.  Camera Calibration with Distortion Models and Accuracy Evaluation , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Wen-Yuh Jywe,et al.  Simple three-dimensional laser angle sensor for three-dimensional small-angle measurement. , 2004, Applied optics.

[3]  Wei Pan,et al.  Combining apparent motion and perspective as visual cues for content-based camera motion indexing , 2008, Pattern Recognit..

[4]  O Kamada,et al.  Angle measurement based on the internal-reflection effect: a new method. , 1992, Applied optics.

[5]  F. Larsson.  Automatic 3 D Model Construction for TurnTable Sequences-a simplification , 2011 .

[6]  W. Niem,et al.  Automatic Modelling of 3D Natural Objects from Multiple Views , 1995 .

[7]  Jake K. Aggarwal,et al.  On the computation of motion from sequences of images-A review , 1988, Proc. IEEE.

[8]  Jim Bennett.  The Divided Circle: A History of Instruments for Astronomy, Navigation and Surveying, J.A. Bennett. 1987. Salem House; Topsfield, MA. 224 pages. ISBN: 0-7148-8038-8. $75.00 , 1987 .

[9]  L. J. Wuerz,et al.  Laser interferometer system for metrology and machine tool applications , 1983 .

[10]  Jean-Yves Bouguet,et al.  Camera calibration toolbox for matlab , 2001 .

[11]  Gwang-Moon Eom,et al.  Development of an optical fiber sensor for angular displacement measurements. , 2014, Bio-medical materials and engineering.

[12]  Ronald Chung,et al.  Determining shape and motion from non-overlapping multi-camera rig: A direct approach using normal flows , 2013, Comput. Vis. Image Underst..

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

[14]  Ian Hacking,et al.  The divided circle: A history of instruments for astronomy, navigation and surveying , 1989 .

[15]  Andreas Geiger,et al.  Automatic camera and range sensor calibration using a single shot , 2012, 2012 IEEE International Conference on Robotics and Automation.

[16]  V. Frémont,et al.  Turntable-based 3D object reconstruction , 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..

[17]  P. Neumann,et al.  REPRESENTATION OF ORIENTATIONS OF SYMMETRICAL OBJECTS BY RODRIGUES VECTORS , 1991 .

[18]  Allen R. Hanson,et al.  Image Description and 3-D Reconstruction From Image Trajectories of Rotational Motion , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Andrew W. Fitzgibbon,et al.  Automatic 3D Model Construction for Turn-Table Sequences , 1998, SMILE.

[20]  Andrew W. Fitzgibbon,et al.  Bundle Adjustment - A Modern Synthesis , 1999, Workshop on Vision Algorithms.

[21]  Seong-Whan Lee,et al.  Qualitative estimation of camera motion parameters from the linear composition of optical flow , 2004, Pattern Recognit..

[22]  Ming Li,et al.  Direct method for motion estimation and structure reconstruction based on optical flow , 2012 .

[23]  Sovira Tan,et al.  Inverse perspective mapping and optic flow: A calibration method and a quantitative analysis , 2006, Image Vis. Comput..

[24]  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.

[25]  Bin Li,et al.  Method of rotation angle measurement in machine vision based on calibration pattern with spot array. , 2010, Applied optics.

[26]  B. Caprile,et al.  Using vanishing points for camera calibration , 1990, International Journal of Computer Vision.

[27]  Jorge J. Moré,et al.  The Levenberg-Marquardt algo-rithm: Implementation and theory , 1977 .