激光与光电子学进展, 2018, 55 (4): 042802, 网络出版: 2018-09-11  

基于球体及平面模型的双Kinect空间位置的标定方法 下载: 1435次

Dual-Kinect Spatial Position Calibration Method Based on Sphere and Plane Model
作者单位
北京航空航天大学仪器科学与光电工程学院, 北京 100191
引用该论文

欧攀, 周锴, 吴帅. 基于球体及平面模型的双Kinect空间位置的标定方法[J]. 激光与光电子学进展, 2018, 55(4): 042802.

Pan Ou, Kai Zhou, Shuai Wu. Dual-Kinect Spatial Position Calibration Method Based on Sphere and Plane Model[J]. Laser & Optoelectronics Progress, 2018, 55(4): 042802.

参考文献

[1] Zhang Z. Microsoft Kinect sensor and its effect[J]. IEEE MultiMedia, 2012, 19(2): 4-10.

[2] Xie Z X, Xu S. A survey on the ICP algorithm and its variants in registration of 3D point clouds[J]. Periodical of Ocean University of China (Natural Science Edition), 2010, 40(1): 99-103.

[3] 张宗华, 彭翔, 胡小唐. 获取ICP匹配深度图像初值的研究[J]. 工程图学学报, 2002, 23(1): 78-84.

    Zhang Z H, Peng X, Hu X T. The research on acquiring the initial value of registering range images by ICP[J]. Journal of Engineering Graphics, 2002, 23(1): 78-84.

[4] Zhang Z Y. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2000, 22(11): 1330-1334.

[5] 陈晓明, 蒋乐天, 应忍冬. 基于Kinect深度信息的实时三维重建和滤波算法研究[J]. 计算机应用研究, 2013, 30(4): 1216-1218.

    Chen X M, Jiang L T, Ying R D. Research of 3D reconstruction and filtering algorithm based on depth information of Kinect[J]. Application Research of Computers, 2013, 30(4): 1216-1218.

[6] 乔思航. 基于多Kinect的个性化虚拟人三维建模[D]. 长沙: 国防科学技术大学, 2013: 1- 14.

    Qiao SH. Personalized virtual human 3D modeling based on multiple Kinect[D]. Changsha: National University of Defense Science and Technology, 2013: 1- 14.

[7] Meng Y, Zhang H. Registration of point clouds using sample-sphere and adaptive distance restriction[J]. The Visual Computer, 2011, 27(6/7/8): 543-553.

[8] 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.

[9] Chui H, Rangarajan A. A new point matching algorithm for non-rigid registration[J]. Computer Vision & Image Understanding, 2003, 89(2/3): 114-141.

[10] 欧攀, 吴帅, 周锴. 基于深度传感器骨骼追踪的快速人体测量方法[J]. 激光与光电子学进展, 2017, 54(12): 121206.

    Ou P, Wu S, Zhou K. Fast human body measurement method based on depth sensor skeleton tracking[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121206.

[11] Schauer J, Nüchter A. Collision detection between point clouds using an efficient k-d tree implementation[J]. Advanced Engineering Informatics, 2015, 29(3): 440-458.

[12] 卢明腾, 苏显渝, 曹益平, 等. 同步扫描的调制度测量轮廓术三维面形重建算法[J]. 中国激光, 2016, 43(3): 0308006.

    Lu M T, Su X Y, Cao Y P, et al. 3D shape reconstruction algorithms for modulation measuring profilometry with synchronous scanning[J]. Chinese Journal of Lasers, 2016, 43(3): 0308006.

[13] 许幸芬, 曹益平, 彭旷. 基于相位预测的在线三维测量像素匹配方法[J]. 光学学报, 2016, 36(6): 0612005.

    Xu X F, Cao Y P, Peng K. Pixel matching method in on-line three-dimensional measurement based on phase prediction[J]. Acta Optica Sinica, 2016, 36(6): 0612005.

[14] Schnabel R, Wahl R, Klein R. Efficient RANSAC for point-cloud shape detection[J]. Computer Graphics Forum, 2007, 26(2): 214-226.

[15] Ahn S J, Rauh W, Warnecke H J. Least-squares orthogonal distances fitting of circle, sphere, ellipse, hyperbola and parabola[J]. Pattern Recognition, 2001, 34(12): 2283-2303.

[16] Landa J, Procházka D. ?tastn y' J. Point cloud processing for smart systems [J]. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2013, 61(7): 2415-2421.

[17] Wang Y B, Wang Y J, Wu K, et al. A dual quaternion-based, closed-form pairwise registration algorithm for point clouds[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2014, 94(4): 63-69.

[18] Zhang F Z. Quaternion and matrices of quaternions[J]. Linear Algebra & Its Applications, 1997, 251(2): 21-57.

[19] Zhan QM, YuL, Liang YB. A point cloud segmentation method based on vector estimation and color clustering[C]. 2nd International Conference on Information Science and Engineering, Hangzhou, 2010: 3463- 3466.

欧攀, 周锴, 吴帅. 基于球体及平面模型的双Kinect空间位置的标定方法[J]. 激光与光电子学进展, 2018, 55(4): 042802. Pan Ou, Kai Zhou, Shuai Wu. Dual-Kinect Spatial Position Calibration Method Based on Sphere and Plane Model[J]. Laser & Optoelectronics Progress, 2018, 55(4): 042802.

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