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. Platform: |
Size: 486459 |
Author:刘长乐 |
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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.
Platform: |
Size: 1485824 |
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 Platform: |
Size: 1024 |
Author: |
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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. Platform: |
Size: 486400 |
Author:刘长乐 |
Hits:
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 Platform: |
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 Platform: |
Size: 14508032 |
Author:zhangji |
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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. Platform: |
Size: 24842240 |
Author:gaojuan |
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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. Platform: |
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. Platform: |
Size: 106496 |
Author:liaozw |
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Description: 在VC++6.0集成开发环境下编程实现了MITK在医学图像分割、配准和三维可视化(体绘制).利用MITK读取五种图片格式：PEG,DICOM,BMP,TIFF.RAW。-In VC++6.0 integrated development environment programming the MITK in medical image segmentation, registration and three-dimensional visualization (volume rendering). Using MITK read five picture format: PEG, DICOM, BMP, TIFF.RAW.-In VC++6.0 integrated development environment programming of MITK in medical image segmentation, registration and 3D visualization (volume rendering). MITK read using five kinds of picture formats: PEG, DICOM, BMP, TIFF.RAW.-In VC++6.0 integrated development environment programming the MITK in medical image segmentation, registration and three-dimensional visualization (volume rendering). Using MITK read five picture format: PEG, DICOM, BMP, TIFF.RAW. Platform: |
Size: 1940480 |
Author:lile |
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Description: 关于2D/3D图像配准的文章，用于前列腺在3D活检中的-Article on 2D/3D image registration in 3D biopsy for prostate Platform: |
Size: 1180672 |
Author:zhangran |
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Description: 2D/3D图像配准，基于灰度，用流动光场的方法-2D/3D image registration based on gray-scale, with the flow of light field method Platform: |
Size: 1067008 |
Author:zhangran |
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Description: 这是一本最经典的一本二维和三维图像匹配的书，通俗易懂，更适合初学者，而且该PDF比已有的要更加清晰工整。-This is the most classic of a 2D and 3D image matching book, easy to understand, more suitable for beginners, and the PDF than the more clear and neat.
Platform: |
Size: 4963328 |
Author:jiachang |
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Description: 3D图像配准的书籍，介绍各种经典的以及先进的3D配准算法
-3 d image registration books, this paper introduces all kinds of classic and advanced 3 d registration algorithm Platform: |
Size: 1781760 |
Author:liang |
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Search - image registration 3d