Image-based underwater 3D reconstruction with single viewpoint adjustment camera model

被引:0
作者
Wei, Yingmei [1 ]
Kang, Lai [2 ]
机构
[1] College of Information System and Management, National University of Defense Technology, Changsha
[2] Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha
来源
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2015年 / 41卷 / 11期
关键词
Image-based underwater 3D reconstruction; Non-linear optimization; Refractive distortion; Single viewpoint adjustment camera model; Space distortion;
D O I
10.13700/j.bh.1001-5965.2015.0059
中图分类号
学科分类号
摘要
In underwater imaging, the light ray associated with each scene point goes through different media with different refractive indices, which introduces refractive distortion in underwater images. Such distortion reduces the accuracy of image-based 3D reconstruction based on traditional single viewpoint camera model. Based on theoretical analysis of the ability of a new single viewpoint adjustment camera model in compensating for refractive distortion, an efficient and automatic image-based underwater 3D reconstruction algorithm with non-linear optimization was proposed. The performance of the purposed method in terms of reconstruction efficiency and accuracy was examined quantitatively using both synthetic data and real images. The experimental results suggest that the proposed single viewpoint adjustment camera model can handle scene space distortion effectively and significantly improve the quality of traditional image-based underwater 3D reconstruction using single viewpoint camera model. © 2015, Beijing University of Aeronautics and Astronautics (BUAA). All right reserved.
引用
收藏
页码:2017 / 2022
页数:5
相关论文
共 16 条
  • [1] Hartley R., Zisserman A., Multiple View Geometry in Computer Vision, pp. 262-276, (2004)
  • [2] Chari V., Sturm P., Multiple-view geometry of the refractive plane, Proceedings of British Machine Vision Conference (BMVC), pp. 1-11, (2009)
  • [3] Chang Y., Chen T., Multi-view 3D reconstruction for scenes under the refractive plane with known vertical direction, Proceedings of IEEE International Conference on Computer Vision (ICCV), pp. 351-358, (2011)
  • [4] Treibitz T., Schechner Y.Y., Singh H., Flat refractive geometry, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8, (2008)
  • [5] Sedlazeck A., Koch R., Calibration of housing parameters for underwater stereo-camera rigs, Proceedings of British Machine Vision Conference (BMVC), pp. 1-11, (2011)
  • [6] Agrawal A., Ramalingam S., Taguchi Y., Et al., A theory of multi-layer flat refractive geometry, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3346-3353, (2012)
  • [7] Kunz C., Singh H., Hemispherical refraction and camera calibration in underwater vision, Proceedings of OCEANS, pp. 1-7, (2008)
  • [8] Telem G., Filin S., Photogrammetric modeling of underwater environments, ISPRS Journal of Photogrammetry and Remote Sensing, 65, 5, pp. 433-444, (2010)
  • [9] Glaeser G., Schrocker H.P., Reflections on refractions, Journal for Grometry and Graphics, 4, 1, pp. 1-18, (2000)
  • [10] Snavely N., Seitz S.M., Szeliski R., Modeling the world from internet photo collections, International Journal of Computer Vision, 80, 2, pp. 189-210, (2008)