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非刚性强壮点匹配图像配准。用于医学图像配准。thin plate splines robust point matching.-nonrigid strong point matching image registration. For the medical image registration. Thin plate spline robust point matching.
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This paper describes the implementation of a multidimensional block-matching nonrigid registration algorithm. The main features of the algorithm are its simplicity, its free form nature, the modularity of the similarity measure, which makes it possib
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性能良好的非刚性配准程序,能够实现局部形变的非刚性配准,程序内赋有配准和待配准图像。-a excellent nonrigid registration program. it could achieve the local deformable image registration.
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这是一个matlab的源码。代码实现了Nonrigid Registration Using Free-Form Deformation.-It is a matlab source code. It implements "Nonrigid Registration Using Free-Form Deformation".
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nonrigid image registration
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评估使用互信息和B样条计算的非刚性配准的优化算法-Evaluation of Optimization Methods for Nonrigid
Medical Image Registration Using Mutual
Information and B-Splines
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系统地阐述了医学图像非刚性配准技术的当前现状。从非刚性配准的四个模型入手,在常用的医学图像配准框架之上。有PPT,mindmanager 的思维导图可以帮助大家更好地理解-Systematic exposition of non-rigid medical image registration technology, the current status quo. From the non-rigid registration of four models to start, in a comm
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非刚性对准程序 帧间对准 比较难调 linux下-linux nonrigid registration it is hard to work patience
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用SIFT算法实现了刚性和非刚性图像的配准
并且效果非常理想
SIFT的特征点的提取 描述 和匹配的算法有注释-Nonrigid Registration Using Free-Form Deformation.
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一种经典的点模式匹配方法—CPD,能较好解决点的刚性变换或非刚性变换的参数求解问题。-A kind of point set registration—CPD which can well solve the parameters of rigid and nonrigid transform.
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MATLAB TOOLBOX FOR NONRIGID IMAGE REGISTRATION USING B SPLINE GRID FOR NON RIGID IMAGE DEFORMATION.CONSISTS OF MANY EXAMPLES IN 2D AND 3D
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弹性配准两组完全封闭的或者不完全封闭的网格曲面-nonrigid registration of two complete or incomplete meshes
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我们采用无办法变形质量人体模板的网格从其原来的姿势对点云数据指定不同的姿势。在此方法中,我们首先建立粗模板网格和点云通过压缩的光谱嵌入技术,利用人体四肢之间的对应关系。基于这些对应关系,我们定义使用弹性能量泛函的非刚性配准的目标和应用离散的梯度流,以减少粗控制网格和点云之间的区别。然后可从之后使用均值坐标控制网格的变形变形的模板网格。(We employ a deformable, deformable human body template mesh to specify different
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