Moreorer a comparative study of computer image processing and optic processing was done to solve the geometric registration of the image using multinomial and finite element method.
同时对国土卫星像片的几何配准，运用多项式与有限元法相结合的原理，进行了计算机和光学处理的对比研究。
The major purpose of registration is to establish geometric transformation between two images, and remove or suppress the geometric distortions between them.
图像配准的目的是建立两幅图像间的几何变换关系，去除或减小两幅图像的几何畸变，从而实现图像的几何校正。
An automatic image registration method based on spatial relation consistency is proposed to deal with the registration of images with affine geometric distortion.
提出了一种基于空间关系一致性的图像自动配准方法，处理具有全局仿射变换的图像配准问题。
This paper presents a machine learning method to select best geometric features for deformable brain registration for each brain location.
针对基于属性向量的非线性配准算法，提出用机器学习的方法寻找脑图像中各个点上的最优几何特征向量。
Aiming at the problem of point clouds registration without prior information on transformation, a novel registration algorithm is proposed based on geometric properties of point clouds.
为了有效地解决不存在明确对应关系的点云配准问题，提出了一种基于点云几何特征的配准算法。
Aiming at the problem of point clouds registration without prior information on transformation, a novel registration algorithm is proposed based on geometric properties of point clouds.
为了有效地解决不存在明确对应关系的点云配准问题，提出了一种基于点云几何特征的配准算法。
应用推荐