摘要
该文提出了一种基于子空间线性迭代的射影重建方法,该方法利用所有的图像序列构成的行向量生成的线性子空间之和与射影重建结构点构成的行向量生成的子空间是同一线性子空间及在该子空间中任何一个基底都可以作为射影重建的特性,线性迭代地求取射影重建及图像深度因子。模拟实验和真实实验表明,该射影重建方法具有鲁棒性好、收敛性好及重投影误差小等优点。
An iterative factorization method based on linear subspace for projective reconstruction is presented in the paper. It relies on the facts that the rows in the matrix including all the image points span the same linear subspace as the rows in the matrix including space points and the fact that any basis of the subspace can be regarded as projective reconstruction. The projective reconstruction and the depth factors are obtained based on linear iteration. The experiments with both simulate and real data show that the method is efficient, robust and has good property of convergence and small reprojection errors.
出处
《电子与信息学报》
EI
CSCD
北大核心
2007年第2期451-454,共4页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60473119
60372043)资助课题
关键词
图像处理
射影重建
分解算法
线性迭代
Image processing
Projective reconstruction
Factorization methods
Linear iteration
