摘要
为了重建三维物体,提出了一种基于分层的线性迭代三维重建方法,该方法首先利用所有图像序列构成的行向量生成的线性子空间之和与空间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,线性迭代地完成射影重建,然后利用相机参数之间的相互约束关系,线性迭代地实现相机的自定标,完成到欧氏重建的过渡。模拟实验和真实实验表明:该重建方法具有鲁棒性好、收敛性好及重投影误差小等优点。
To reconstruct 3D object from images, a stratified linear iterative method for 3D reconstruction is presented, which can uniformly deal with all the images and image points. 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 that any basis of the subspace can be regarded as projective reconstruction. The projective reconstruction is obtained based on linear iteration. The self-calibration is accomplished based on the constraint of the camera intrinsic matrix and the projection reconstruction is upgraded to Euclid reconstruction. The simulation and real experiments show that the method is robust and has good property of convergence and small re-projection errors.
出处
《传感器与微系统》
CSCD
北大核心
2010年第10期71-74,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60805016)
高等学校博士学科点专项科研基金资助项目(200807181007)
陕西省科技计划资助项目(2010JM8039)
全国大学生创新性实验计划资助项目(09107183)
关键词
三维重建
射影重建
自标定
3D reconstruction
projectivere re-construction
self-calibration
