搜索资源列表
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osculatingcircle.cpp : An interactive demo of osculating circles used to define a parametric curve curvature. Require OpenGL(R)
matchsegments.cpp : Compute the scaled rigid transformation that matches a given pair of segments.
srm : A k
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本程序是在MATLB下，教你如何实现三维刚体转换代码，希望对学习图形图像的人能有所帮助。-This procedure is under MATLB, teach you how to achieve three-dimensional rigid body conversion code, want to learn graphics images can be helpful.
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thin plate spline（薄板样条）模型，将已知图像通过非刚性变换得到所需要的图像，在图像配准中非常有用。-thin plate spline (thin plate spline) model, will be known through non-rigid image transformation to be necessary by the images of image registration in very useful.
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图像变形，实现图像的刚体变换，不同于仿射变换和透射变换，不改变物体的刚体属性。-Image deformation- rigid transformation.
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刚性位置变化计算，输入物体在空间坐标系中的坐标，以及旋转向量和平移向量，计算其在摄像机坐标系中的坐标。- [Y,dYdom,dYdT] = rigid_motion(X,om,T)
Computes the rigid motion transformation Y = R*X+T, where R = rodrigues(om).
INPUT: X: 3D structure in the world coordinate frame (3xN matrix for
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这是完全用C++编程的图像拼接程序，在配准上能够很好的适应图像的刚性变换。-This is entirely in C++ programming, image stitching program, registration can be a good fit on the image of rigid transformation.
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实现两幅图像指定区域的图像对齐，变换过程为刚性变换（旋转和平移）-Two images to achieve alignment of the designated area of the image, rigid transformation (rotation and translation)
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基于互信息的刚性配准医学图像配准技术是今年来医学图像处理领域中的重要研究问题，推崇寻找某种适当的空间变换，使两幅图达到空间位置上的定位和配准，进而进行图像融合。医学图像配准在临床诊断、治疗、质量保证和疗效评价等方面具有重要的应用价值。-Mutual information-based rigid registration of medical image registration technology to medical image processing field this year, an
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图像配准算法，实现了刚体变换的图像配准算法，适合入门级初学者学习使用-Image registration algorithm to achieve a rigid transformation of the image registration algorithm, suitable for beginners to learn to use entry-level
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目的：根据刚体变换理论计算rt矩阵，点云在旋转前后发生刚体变换，并不会对点云数据的模型进行改变
相对于最小二乘法的直接计算点云的方法，A=R*B,>> R=(A*B )*[inv(B*B )] 与该方法相比，该方法最直观，
但是会引起点云模型变形，该方法求出的rt，矩阵不是正交矩阵，而下面的方法则是刚体变换，不会引起点云数据
模型的变形-Objective: according to the theory of rigid body transformation ma
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圆柱体的随意角度展示，3D立体变换，HALCON编写，可以转换为C++随度快-* This example program shows how to use the operator
* rigid_trans_object_model_3d in HALCON. In this example
* a cylinder is created. In a second step, the cylinder is
* tranformed with a rigid transform
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非刚体ICP变换，可以进行小范围的非刚体校正，融合。有中间计算过程，有实例数据-Non-rigid ICP transformation can be corrected small range of non-rigid fusion. Intermediate calculations, there are examples of data
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非刚性配准算法，能实现各种局部变换的配准，方便好用-Non rigid registration algorithm, can achieve a variety of local transformation of the registration, easy to use
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4帧图像刚性仿射变换，得到低分辨率图像，用IBP重建超分辨率图像(4 frame image rigid affine transformation, low resolution image, IBP reconstruction of super-resolution image)
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