Linear camera self-calibration method based on non-rigid trajectory basis

被引：0

作者：

Peng Y.-L. ^{[1
,2
]}

Liu S.-G. ^{[2
]}

Pei Z. ^{[2
]}

Wu J. ^{[2
]}

Wang X.-L. ^{[2
]}

机构：

[1] Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi'an, 710062, Shaanxi

[2] School of Computer Science, Shaanxi Normal University, Xi'an, 710119, Shaanxi

来源：

Liu, Shi-Gang (shgliu@gmail.com) | 1600年 / Chinese Institute of Electronics卷 / 45期

关键词：

Camera self-calibration; Non-rigid; Trajectory basis;

D O I：

10.3969/j.issn.0372-2112.2017.01.019

中图分类号：

学科分类号：

摘要：

To calibrate the camera, a linear camera self-calibration method based on non-rigid trajectory basis is presented in this paper. Based on the fact that the trajectories of non-rigid span a low subspace which can be spanned by an orthogonality wavelet basis, the camera self-calibration can be linearly realized. Because the wavelet basis can be predefined, the solved parameters are deduced and the camera self-calibration becomes a linear optimal problem, which can improve the robustness of the algorithm. The experiments of both simulation and real data show that the presented method can efficiently realize the camera self-calibration. © 2017, Chinese Institute of Electronics. All right reserved.

引用

页码：135 / 139

页数：4

共 15 条

[11] Zhuang Y., Yan F., Hu H., Automatic extrinsic self-calibration for fusing data from monocular vision and 3-D laser scanner, IEEE Transactions on Instrumentation and Measurement, 63, 7, pp. 1874-1876, (2014)
[12] Rehan A., Zaheer A., Akhter I., Et al., NRSfM using local rigidity, IEEE Proceedings Winter Conference on Applications of Computer Vision, pp. 69-74, (2014)
[13] Llado X., Bue A., Agapito L., Non-rigid metric reconstruction from perspective cameras, Image and Vision Computing, 28, 9, pp. 1339-1353, (2010)
[14] Ackermann H., Rosenhahn B., Non-rigid self-calibration of a projective camera, The 11th Asian Conference on Computer Vision, pp. 177-190, (2012)
[15] Liu S.-G., Peng Y.-L., Han C.-Z., Wu C.-K., Projective reconstruction based on rank 1 matrix, Acta Electronica Sinica, 37, 1, pp. 225-228, (2009)

← 1 2 →