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Description: 3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
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Author: Son Tran |
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Description: 本MATLAB程序 用MATLAB 来实现3D 图像的匹配 用高斯卷积 来寻找 关键点 ,再利用关键点处的特征向量 通过3D向量的匹配 来实现3D 图像的配准-The MATLAB program using MATLAB to realize the matching of 3D images using Gaussian convolution to find the key points, re-use the key points of the feature vector through the 3D vector matching to realize 3D image registration
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Description: 3维坐标变换应用于3维图像配准 要下的快啊-3-D coordinate transformation applied to 3-dimensional image registration should be under快啊
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Author: lxg |
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Description: The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
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Size: 486400 |
Author: 刘长乐 |
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Description: nonrigid_version10: Registration of two 2D images or 3D volumes both rigid and non-rigid with smooth b-spline grid without landmarks
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Size: 507904 |
Author: zhangxq |
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Description: 非刚性图像配准算例，包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。
非刚性配准是当前应用最多的配准方法，用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimization, 3D affine registration algorithm, etc.. Non-rigid registration is currently the most widely used registration methods used to deal with a greater displacement of registration problems
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Size: 245760 |
Author: zhangji |
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Description: 15篇光流配准经典文献，目录如下：
1、A Local Approach for Robust Optical Flow Estimation under Varying
2、A New Method for Computing Optical Flow
3、Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms
4、all about direct methods
5、An Introduction to OpenCV and Optical Flow
6、Bayesian Real-time Optical Flow
7、Color Optical Flow
8、Computation of Smooth Optical Flow in a Feedback Connected Analog Network
9、Computing optical flow with physical models of brightness Variation
10、Dense estimation and object-based segmentation of the optical flow with robust techniques
11、Example Goal Standard methods Our solution Optical flow under
12、Exploiting Discontinuities in Optical Flow
13、Optical flow for Validating Medical Image Registration
14、Tutorial Computing 2D and 3D Optical Flow.pdf
15、The computation of optical flow
-15 light流配quasi-classical literature, the directory is as follows: 1, A Local Approach for Robust Optical Flow Estimation under Varying2, A New Method for Computing Optical Flow3, Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms4, all about direct methods5, An Introduction to OpenCV and Optical Flow6, Bayesian Real-time Optical Flow7, Color Optical Flow8, Computation of Smooth Optical Flow in a Feedback Connected Analog Network9, Computing optical flow with physical models of brightness Variation10, Dense estimation and object-based segmentation of the optical flow with robust techniques11, Example Goal Standard methods Our solution Optical flow under12, Exploiting Discontinuities in Optical Flow13, Optical flow for Validating Medical Image Registration14, Tutorial Computing 2D and 3D Optical Flow.pdf15, The computation of optical flow
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Author: zhangji |
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Description: 自己写的角点检测程序，matlab版，来源于2D 3d image registration-Corner detection procedures, matlab version, harris Corner
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Size: 8192 |
Author: dubingxin |
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Description: 注册文件，MIMICS是一套高度整合而且易用的3D图像生成及编辑处理软件，它能输入各种扫描的数据（CT、MRI），建立3D模型进行编辑，然后输出通用的CAD（计算机辅助设计）、FEA（有限元分析），RP（快速成型）格式，可以在PC机上进行大规模数据的转换处理。 -Registration documents, MIMICS is a highly integrated and easy-to-use 3D image generation and editing software, it can enter a variety of scan data (CT, MRI), to establish and edit 3D models, and then output common CAD (computer-aided design ), FEA (finite element analysis), RP (Rapid Prototyping) format, you can drive on the PC conversion of large-scale data processing.
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Size: 53248 |
Author: 侯源君 |
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Description: 这是一个3D医学图像处理软件，可以对图像进行分割和配准，对于三维和二维的医学图像都可以使用。-This is a 3D medical image processing software, you can image segmentation and registration for three-dimensional and two-dimensional medical images can be used.
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Size: 24842240 |
Author: gaojuan |
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Description: Registration of two 2D/3D images, rigid and with smooth b-spline grid.
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Size: 603136 |
Author: yyz |
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Description: 国外有关三维人脸表情识别的文献。IEEE上面的，有兴趣的可以看看。-Automatic Registration of Vertex Correspondences for 3D Facial Expression Analysis.
3D facial expression recognition based on automatically selected features.
3D facial expression recognition with geometrically localized facial features.
3D facial expression recognition using swarm intelligence.
Analyzing Facial Expressions Using Intensity-Variant 3D Data For Human Computer Interaction.
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Description: registration of 3D, I have programmed this one for 2D/3D registration, try it and if u have any question contact me
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Size: 1024 |
Author: sonetta |
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Description: 一个图像配准的工具包，能够实现不同模态图像之间的配准。-AIR allows automated registration of 3D (and 2D) images within and across subjects and within and sometimes across imaging modalities.
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Size: 363520 |
Author: zhangxu |
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Description: 2-D and 3-D
Image Registration
for Medical, Remote Sensing,
and Industrial Applications
Image registration is the process of determining the point-by-point correspondence
between two images of a scene. By registering two images, the fusion ofmultimodality
information becomes possible, the depth map of the scene can be determined,
changes in the scene can be detected, and objects can be recognized.
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Size: 4958208 |
Author: lily |
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Description: 数字影像重建在基于灰度的2D／3D医学图像配准技术中具有重要作用。它是利用基于射线追踪算法从三维数据如CT中获得二维虚拟x线图像。影像重建结果的质量直接影响到配准结果的精度。本文对数字影像重建技术作了一定的探讨，实现了对cT体数据的数字影像重建，并通过增强技术获得了突出骨组织的图像，为后续的配准研究做了很好的准备工作。-Digital image reconstruction in intensity based 2D/3D medical image registration techniques have an important role. It is the use of ray-tracing algorithm based on the data from the three-dimensional CT obtained as two-dimensional virtual x-ray images. Image reconstruction quality of the results directly affect the accuracy of registration results. In this paper, digital image reconstruction techniques were explored certain to achieve volume data on the number of cT image reconstruction, and by enhancing technology to obtain a prominent image of bone tissue, for follow-up studies with prospective done a very good preparations.
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Author: liaozw |
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Description: 3D医学图像配准和重建(visual c++实现)-3D medical image registration and reconstruction (visual c++ implementation)
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Size: 2352128 |
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Description: 2-D and 3-D Image registration-Image registration information, image processing, data
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Size: 4958208 |
Author: Johnsonliu |
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Description: 针对大型物体三维形貌视觉测量,提出了一种新的视觉测量三维数据拼接方法。以一台高分辨率数码相
机作为全局测量设备,在测量过程中固定不动,并以数码相机坐标系作为全局坐标系。视觉传感器流动到不同位置对物
体各子区域进行测量,获得局部坐标系下的三维数据。以一平面靶标为中介将视觉传感器在各位置的局部坐标系统一
到全局坐标系下,从而将三维数据统一到全局坐标系下,完成三维拼接。-A new 3D data registration method for large surface vision measurement is proposed. A digital camera with high
resolution is used as the global measurement equipment , which is fixed at a certain position. The digital camera coordinate frame
is taken as the global coordinate frame. The vision sensor measures all sub2areas of the measured object in different positions to
acquire 3D data of the sub2areas in local coordinate frames. The local coordinate frames of the vision sensor in different positions
are unified into the global coordinate frame by a planar target as the intermediary. Then the 3D data are unified into the global
coordinate frame and 3D registration is completed. The proposed method need not stick marks on the measured object , so it is
suit to all the measured objects regardless of material.
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Size: 300032 |
Author: jack |
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Description: 3D registration using Matlab
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Size: 135168 |
Author: Mohammad |
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