Description: 构建了一种新的Harris多尺度角点检测算法,角点的图像配准算法的配准精度-Construction of a new multi-scale Harris corner detection algorithm, corner of the image registration algorithm for registration accuracy Platform: |
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Author:范一峰 |
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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: |
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Author:zhangji |
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Description: 基于SIFT的图像配准程序
SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力-SIFT-based image registration procedure is the SIFT feature matching algorithm for matching feature points at home and abroad a hot area of research and the difficulties in matching their ability to deal with translation between two images, rotation, affine transformation to match the case of problems, and even to some extent in any angle images will also be able to match the characteristics of a more stable capacity Platform: |
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Description: 图像中的角点包含大量的信息，在计算机视觉中扮演重要角色，在许多应用中角点用作特征点，例如图像配准、运动目标跟踪等。鉴于此，学者们提出很多角点检测方法。例如Hans EMoravec在1977年提出的Movavec算法，Chris Harris和Mike Stephens于1988年提出的Harris算法，以及MirosavTrai．kovic和MarkHedley提出的Trajkovic算法等“卅。角点检测的另一个途径是计算轮廓的曲率函数，因为角点是曲率函数的最大值，因此很容易通过阈值的方法检测出来。-Corner of the image contains a large amount of information, play an important role in computer vision, in many applications as a corner feature points, such as image registration, moving target tracking. In view of this, scholars have raised a lot of corner detection methods. For example, Hans EMoravec in 1977, made Movavec algorithm, Chris Harris and Mike Stephens in 1988 proposed Harris algorithm, as well as MirosavTrai. kovic and MarkHedley algorithm proposed by Trajkovic, " thirty. Another way to corner detection is to calculate the contour of the curvature function, because the corner is the maximum curvature function, it is easy to pass the threshold used to detect them. Platform: |
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Author:changhe.cheng |
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Description: 用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation. Platform: |
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Author:sfm |
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Description: 用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation. Platform: |
Size: 36864 |
Author:sfm |
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Description: 用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation. Platform: |
Size: 7168 |
Author:sfm |
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Description: 用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation. Platform: |
Size: 35840 |
Author:sfm |
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Description: 用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。-Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation. Platform: |
Size: 19456 |
Author:sfm |
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Description: 这个java程序实现了一种二值图像配准算法，该算法可参考下面这篇论文，这个程序需要安装Apache Ant-This is the sample implementation of the binary image registration algorithm described in
Csaba Domokos and Zoltan Kato. Parametric Estimation of Affine Deformations
of Planar Shapes. Pattern Recognition, DOI: 10.1016/j.patcog.2009.08.013
Platform: |
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Author:liucun |
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Description: 基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力-Hot and difficult of the current research areas of domestic and foreign feature point matching based the SIFT image registration program SIFT feature matching algorithm is its ability to match between the two images, can handle translation, rotation, affine transformation case match problem, even in some degree images taken at any angle with more stable feature matching ability Platform: |
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Author:yejj |
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Description: 先运用仿射变换粗配准，再运用active-demons算法进行精细配准-First use of affine transform the coarse registration, and then use active-demons algorithm for fine registration Platform: |
Size: 477184 |
Author:任卫东 |
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Description: ：提出一种基于SURF 与光流法相结合的增强现实局部跟踪注册方法。采用光流法对移动对象区域进行跟
踪，利用SURF 算法仿射、尺度不变性及运算速度快的优点对该区域进行特征提取与匹配，利用相邻帧之间特征点的
匹配关系求得三维注册矩阵，在保持注册精确性的同时降低了系统运算时间。实验结果表明该方法达到了实时跟
踪与准确注册的效果，并且在环境变化时保持了较好的鲁棒性。-A tracking and registration method based on SURF and optical flow in the AR is proposed. The moving object
region is tracked by the optical flow method. This paper extracts and matches the features of the region with SURF because
the algorithm maintains advantages of affine invariance, scale invariance and fast computing speed. The final registration
matrix is calculated using the homographies between adjacent frames. This method reduces the computational time deeply
while the accuracy of the registration unchanges. Convinced by experimental results, this approach can work at almost real
time and achieves accurate registration, and can keep a good robustness in some environment changes. Platform: |
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Author:Liu Yaoyang |
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Description: 针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.) Platform: |
Size: 2048 |
Author:九月晴空 |
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Search - affine registration algorithm