激光与光电子学进展, 2018, 55 (8): 081502, 网络出版: 2018-08-13   

基于运动恢复结构的空间点定位方法 下载: 714次

Method of Space Point Positioning Based on Structure-from-Motion
作者单位
中国海洋大学工程学院, 山东 青岛 266100
引用该论文

解则晓, 周作琪. 基于运动恢复结构的空间点定位方法[J]. 激光与光电子学进展, 2018, 55(8): 081502.

Xie Zexiao, Zhou Zuoqi. Method of Space Point Positioning Based on Structure-from-Motion[J]. Laser & Optoelectronics Progress, 2018, 55(8): 081502.

参考文献

[1] 丁少闻, 张小虎, 于起峰, 等. 非接触式三维重建测量方法综述[J]. 激光与光电子学进展, 2017, 54(7): 070003.

    Ding S W, Zhang X H, Yu Q F, et al. Overview of non-contact 3D reconstruction measurement methods[J]. Laser & Optoelectronics Progress, 2017, 54(7): 070003.

[2] 解则晓, 朱瑞新, 张安祺. 超大尺度线结构光传感器三维测量系统外参数标定[J]. 中国激光, 2017, 44(10): 1004003.

    Xie Z X, Zhu R X, Zhang A Q. Extrinsic parameters calibration of three-dimensional measurement system for ultra-large scale line-structured light sensor[J]. Chinese Journal of Lasers, 2017, 44(10): 1004003.

[3] 刘建伟, 梁晋, 梁新合, 等. 大尺寸工业视觉测量系统[J]. 光学 精密工程, 2010, 18(1): 126-134.

    Liu J W, Liang J, Liang X H, et al. Industrial vision measuring system for large dimension work-pieces[J]. Optics and Precision Engineering, 2010, 18(1): 126-134.

[4] Hu G, Zhang J, Yu L. The precision study of mark position after binarization for dynamic tests[J]. Proceedings of SPIE, 2016, 9903: 99032R.

[5] Li Z L, Han Z. Research anddevelopment of vision measurement system with marked targets[J]. Applied Mechanics & Materials, 2013, 336/338: 2003-2007.

[6] 郑建冬, 张丽艳, 周玲, 等. 基于单数码相机自由拍摄的空间点定位[J]. 航空学报, 2007, 28(6): 1521-1526.

    Zheng J D, Zhang L Y, Zhou L, et al. 3D target location with one single hand-held CCD camera[J]. Acta Aeronauticaet Astronautica Sinica, 2007, 28(6): 1521-1526.

[7] 贾松敏, 王可, 李秀智, 等. 基于变分模型的单目视觉三维重建方法[J]. 光学学报, 2014, 34(4): 0415002.

    Jia S M, Wang K, Li X Z, et al. Monocular camera three dimensional reconstruction based on variation model[J]. Acta Optica Sinica, 2014, 34(4): 0415002.

[8] 李秀智, 杨爱林, 秦宝岭, 等. 基于光流反馈的单目视觉三维重建[J]. 光学学报, 2015, 35(5): 0515001.

    Li X Z, Yang A L, Qin B L, et al. Monocular camera three dimensional reconstruction based on optical flow feedback[J]. Acta Optica Sinica, 2015, 35(5): 0515001.

[9] 解则晓, 高翔, 朱瑞新. 环状编码标记点的高效提取与鲁棒识别算法[J]. 光电子·激光, 2015, 26(3): 559-566.

    Xie Z X, Gao X, Zhu R X. Efficient extraction and robust recognition algorithm of circle coded target[J]. Journal of Optoelectronics·Laser, 2015, 26(3): 559-566.

[10] 陈明军, 周含策, 张丽艳. 基于卷积神经网络的运动模糊编码点识别[J]. 计算机辅助设计与图形学学报, 2017, 29(10): 1844-1852.

    Chen M J, Zhou H C, Zhang L Y. Recognition ofmotion blurred coded targets based on convolutional neural network[J]. Journal of Computer-Aided Design & Computer Graphics, 2017, 29(10): 1844-1852.

[11] Hartley R, Zisserman A. Multiple view geometry in computer vision[M]. Cambridge: Cambridge University Press, 2004: 262-270.

[12] Tomasi C, Kanade T. Shape and motion from image streams under orthography: a factorization method[J]. International Journal of Computer Vision. 1992, 9(2): 137-154.

[13] Poelman C J, Kanade T. A paraperspective factorization method for shape and motion recovery[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1997, 19(3): 206-218.

[14] Quan L. Self-calibration of an affine camera from multiple views[J]. International Journal of Computer Vision, 1996, 19(1): 93-105.

[15] Sturm P F, Triggs B. A factorization based algorithm for multi-image projective structure and motion[J]Proceedings of European Conference on Computer Vision, 1996, 1065(3): 709-720.

[16] 袁建英, 刘甲甲, 王凯, 等. 一种非定标图像高精度三维重建算法[J]. 计算机应用研究, 2012, 29(12): 4786-4788.

    Yuan J Y, Liu J J, Wang K, et al. 3D reconstruction algorithm from uncalibrated images with high precision[J]. Application Research of Computers, 2012, 29(12): 4786-4788.

[17] Cui Z, Tan P. Global structure-from-motion by similarity averaging[C]∥IEEE International Conference on Computer Vision. IEEE Computer Society, Santiago, Chile, 2015: 864-872.

[18] 管秋, 金俊杰, 张剑华, 等. 基于最优RANSAC算法的非增加式多视图三维重建[J]. 浙江工业大学学报, 2015, 43(5): 473-478.

    Guan Q, Jin J J, Zhang J H, et al. Non-sequential multi-view 3D reconstruction base on ac-ransac[J]. Journal of Zhejiang University of Technology, 2015, 43(5): 473-478.

[19] Seitz S M, Szeliski R, Snavely N. Photo tourism: exploring photo collections in 3D[J].Acta Transactions on Graphics, 2006, 25(3): 835-846.

[20] 张靖, 朱大勇, 张志勇. 摄像机镜头畸变的一种非量测校正方法[J]. 光学学报, 2008, 28(8): 1552-1557.

    Zhang J, Zhu D Y, Zhang Z Y. Nonmetric calibration of camera lens distortion[J]. Acta Optica Sinica, 2008, 28(8): 1552-1557.

[21] Agarwal S, Mierle K. Ceres solver[EB/OL].[2018-4-1].http://ceres-solver.org.

解则晓, 周作琪. 基于运动恢复结构的空间点定位方法[J]. 激光与光电子学进展, 2018, 55(8): 081502. Xie Zexiao, Zhou Zuoqi. Method of Space Point Positioning Based on Structure-from-Motion[J]. Laser & Optoelectronics Progress, 2018, 55(8): 081502.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!