Abstract
For the purpose of image distortion caused by the oblique photography of Android CMOS camera, a auto-rectification approach was proposed in this thesis. According to the camera stance information took into geometric correction model and provided by the phone built-in acceleration sensor and geomagnetism sensor, the relationship of pixel coordinates between distortion image and standard image was obtained. The pixel coordinates was resampled to obtain orthorectified images without the squint distortion by OpenCV4Android perspective projection transformation. The experiment results show that the approach is efficient, real-time and has great significance for implementing precise position of the target.
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References
Zhou, Q., Liu, J., Gou, B., et al.: Geometric correction of squares image of aerial camera for aerial array CCD. Liq. Cryst. Disp. 30(3), 506–513 (2015)
Zhang, Z.A.: Flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000)
Wang, C.: Geometric correction and target recognition technology of remote sensing image [D]. Harbin Institute of Technology, Harbin (2014)
Nixon, M.S., Aguado, A.S.: Feature extraction and image processing [M]. Li S., Yang G., translation .2 version of Beijing, Electronic Industry Press, 295–298 (2010)
Changchun: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China (2015)
Fu, S., Chen, S., Zhang, J., et al.: Image projection based on camera attitude information. Comput. Digit. Eng. 43(10), 1858–1860 (2015)
Gonzalez, R.C., Woods, R.E.: Digital image processing [M]. Ruan, Q., Ruan, Y., translation. 3 version of Beijing, Electronic Industry Press, 51–53 (2011)
Acknowledgments
An image correction method based on sensor attitude information is proposed in this paper. By using the OpenCV4Android open source computer vision library on the Android platform, the real-time automatic correction of the strabismus image is realized and the error of the strabismus distortion is analyzed by using the pixel transformation of the same target in the distorted image and the standard image. The experimental results show that the root mean square error of the method in the axial direction and the axial direction is not more than 2 pixels. The geometric correction method does not need to detect the feature points and collect the reference image, the correction efficiency is high, and can be applied to the real-time accurate positioning of the image target based on the mobile intelligent device.
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Xiao, Z., Fang, Z., Gao, L., Xu, B. (2018). Image Geometric Correction Based on Android Phone Sensors. In: Xhafa, F., Patnaik, S., Zomaya, A. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2017. Advances in Intelligent Systems and Computing, vol 686. Springer, Cham. https://doi.org/10.1007/978-3-319-69096-4_29
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DOI: https://doi.org/10.1007/978-3-319-69096-4_29
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