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 |
Hits:
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 |
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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 Platform: |
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 Platform: |
Size: 245760 |
Author:zhangji |
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Description: 里面包含有关于互信息 距离测度 图像变换等的子代码，还有2D，3D刚性以及弹性配准的代码-Which contains information on the Internet and other distance measure sub-image transform code, as well as 2D, 3D rigid and elastic registration code Platform: |
Size: 2610176 |
Author:媛媛 |
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Description: This package provides Matlab code with examples for
the non-rigid 2D and 3D image registration.
http://www.bme.ogi.edu/~myron
-This package provides Matlab code with examples for
the non-rigid 2D and 3D image registration.
http://www.bme.ogi.edu/~myron Platform: |
Size: 1802240 |
Author:wyk |
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Description: demons三维非刚性图像配准，速度很快，基于ITK-demons of 3D non-rigid image registration, very fast, based on ITK Platform: |
Size: 5120 |
Author:xiav |
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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: 医学图像配准，医学图像2D_3D配准，基于vc++开发。-Abstract. We present a method that performs the rigid 2D/3D image registration
efficiently on the GPU. As one main contribution of this paper, we propose an
efficient method for generating realistic DRRs that are visually similar to X-ray
images. Therefore, we model some of the electronic post-processes of current X-
ray C-arm-systems. As another main contribution, the GPU is used to compute
eight intensity-based similarity measures between the DRR and the X-ray image
in parallel. A combination of these eight similarity measures is used as a new
similarity measure for the optimization. We evaluated the performance and the
precision of our 2D/3D image registration algorithm using two phantom models.
Compared to a CPU+GPU algorithm, which calculates the similarity measures
on the CPU, our GPU algorithm is between three and six times faster. In contrast
to single similarity measures, our new similarity measure achieved precise and
robust registration results for both phantom m Platform: |
Size: 329728 |
Author:刘坤 |
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Description: MATLAB TOOLBOX FOR NONRIGID IMAGE REGISTRATION USING B SPLINE GRID FOR NON RIGID IMAGE DEFORMATION.CONSISTS OF MANY EXAMPLES IN 2D AND 3D Platform: |
Size: 1423360 |
Author:v.r.s.mani |
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Description: 一种快速的弹性流体配准方法（demon配准），可用于配准2D或3D图像-This function will perform demon registration which is an type of fast non-rigid fluid like registration between two 2D or 3D images. Platform: |
Size: 7121920 |
Author:liuhongmei |
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Search - 3D rigid registration