1. 西安交通大学电子与信息工程学院,西安,710049
2. 陕西师范大学计算机科学学院,西安,710062
网络首发:2010-12-10,
纸质出版:2010
移动端阅览
刘涛 1, 2, 钱德沛 1, 等. 一种准线性光束平差方法[J]. 西安交通大学学报, 2010,44(12):1-4.
A Quasi-Linear Bundle Adjustment Method[J]. 2010, 44(12): 1-4.
为了解决光束平差运行速度慢、复杂度高的缺点
提出了一种准线性光束平差方法(QBA)
该方法利用深度因子等于投影矩阵的第3行与射影空间点相乘的特性
采用重投影点和已知图像点的代数距离建立目标函数
交替地将投影矩阵和射影空间点两个量中的一个保持不变
线性地求取另一个量
最后完成射影重建.实验结果表明
QBA方法具有较快的收敛速度
同时和传统的Levenberg-Marquat方法及Mahamud方法比较
QBA方法运行时间约是L-M方法的1/8
是Mahamud方法的1/3.
A quasi-linear bundle adjustment(QBA)method is presented to overcome the shortcoming of the bundle adjustment that the computational cost is expensive due to the complicated procedure. The method bases on the fact that the depth factor is equal to the product of the third row of projective matrix and the point in projection space. The algebraic distance between the re-projective points and the image points is taken as the objective function. Then the projective points and the projective matrices are alternately estimated by solution with one of them keeping constant. Finally
the projective reconstruction is obtained. Experimental results show that the proposed method is very efficient. Comparisons with the L-M method and the Mahamud method show that the proposed method runs approximate 8 times as fast as the L-M method and 3 times as fast as the Mahamud method.
WANG Guanghui, WU J Q M. The quasi-perspective model: geometric properties and 3D reconstruction[J]. Pattern Recognition, 2010, 43(5):1932-1942.
彭亚丽, 刘芳, 刘侍刚. 一维子空间的三维重建方法[J]. 西安交通大学学报, 2009,43(12):31-35.
PENG Yali, LIU Fang, LIU Shigang. 3D reconstruction method with 1D subspace [J]. Journal of Xi'an Jiaotong University, 2009,43(12):31-35.
彭亚丽, 刘芳, 焦李成, 等. 基于秩4约束的遮挡点恢复方法[J]. 机器人, 2008,30(2):138-141.
PENG Yali, LIU Fang, JIAO Licheng, et al. A method for occlusion recovery based on rank 4 [J]. Robot, 2008, 30(2):138-141.
刘侍刚, 彭亚丽, 韩崇昭, 等. 3维子空间约束的遮挡点恢复方法[J]. 西安交通大学学报, 2009,43(4):10-13.
LIU Shigang, PENG Yali, HAN Chongzhao, et al. An occlusion recovery method based on 3D subspace [J]. Journal of Xi'an Jiaotong University, 2009, 43(4):10-13.
刘侍刚, 彭亚丽, 韩崇昭, 等. 基于秩1的射影重建方法[J]. 电子学报, 2009, 37(1):225-228.
LIU Shigang, PENG Yali, HAN Chongzhao, et al. Projective reconstruction based on rank 1 matrix [J]. Acta Elecronica Sinica, 2009, 37(1):225-228.
彭亚丽,刘侍刚,刘芳. 基于秩1约束的三维重建方法[J].信号处理,2010,26(1):28-31.
PENG Yali, LIU Shigang, LIU Fang. A 3D reconstruction method based on rank 1[J]. Signal Processing, 2010, 26(1):28-31.
PENG Yali, LIU Shigang, LIU Fang. Projective reconstruction with occlusions [J]. Opto-Electronics Review, 2010, 18(2):14-18.
刘侍刚, 吴成柯, 李良福, 等. 基于1维子空间线性迭代射影重建[J].电子学报, 2007, 35(4):692-696.
LIU Shigang, WU Chengke, LI Liangfu, et al. An iterative method based on 1D subspace for projective structure and motion[J]. Acta Elecronica Sinica,2007,35(4):692-696.
TRIGGS B, MCLAUCHLAN P, HARTLEY R I, et al. Bundle adjustment: a modern synthesis [C]∥Proceedings of International Workshop on Vision Algorithms. Berlin, Germany: Springer Verlag, 2005:298-372
BARTOLI A. A unified framework for quasi-linear bundle adjustment [C]∥Proceeding of 16th International Conference on Pattern Recognition. Los Alamitos, CA, USA: IEEE Computer Society, 2002:560-563.
MICHOT J, BARTOLI A, GASPARD F, et al. Algebraic line search for bundle adjustment[C]∥Proceedings of the Ninth British Machine Vision. Berlin, Germany: Springer Verlag, 2009:1-8.
MAHAMUD S, HEBERT M, OMORI Y, et al. Provably-convergent iterative methods for projective structure from motion [C]∥IEEE Conference on Computer Vision and Pattern Recognition. Los Alamitos, CA, USA: IEEE Computer Society, 2001:1018-1025.
MARQUES M, COSTEIRA J. Estimating 3D shape from degenerate sequences with missing data [J]. Computer Vision and Image Understanding, 2009, 113(2):261-272.
JULIA C, SAPPA A. An iterative multiresolution scheme for SFM with missing data: single and multiple object scenes [J]. Image and Vision Computing, 2010,28(1):164-176.
0
浏览量
4
下载量
1
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621