搜索资源列表
能提取出具有仿射不变性的MSER区域
- 能提取出具有仿射不变性的MSER区域，且利用提取出的区域进行匹配，该方法鲁棒性很好,Can be extracted with the affine invariance of the MSER region, and the use of extracted region matching, robustness of the method a good
ncc.rar
- 由两幅图像匹配，进行合成，Harris提取特征点，匹配速度快,From the two images match, were synthesized, Harris feature point extraction, matching speed and
SIFT-matlab.rar
- 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
demo_ASIFT_src
- Affine SIFT 比SIFT匹配算法的精度到好多倍-Affine SIFT SIFT matching accuracy than to the good times
image-stitching
- 实验两张图片的拼接，对于图片中的匹配对，用ransac方法消除错配，并估计出仿射矩阵。然后将一张图进行仿射变换，再实现拼接-Experiment two pictures of the stitching, matching pairs for the picture, with ransac way to eliminate mismatches, and to estimate the affine matrix. Then an affine transformation diagram,
SIFT1
- Matbal下的SIFT算法源代码，可以直接运行，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 -The SIFT algorithm source code under Matbal run directly matching occurred between the two image translation, rotation, affine transformation case
lyj1
- 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 feature matching algorithm is the matching feature points at home and abroad a hot area of research with the difficult, and its ability to
SIFT
- 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 feature matching algorithm is the feature points at home and abroad to match the hot area of research and difficult, and its ability to match
affineOF
- 基于仿射变换的图像匹配程序，这是基于mablab的一个主程序-Affine transformation based on the image matching process, which is based on a main mablab
eccv06
- In this paper, a novel scale- and rotation-invariant interest point detector and descr iptor, coined SURF (Speeded Up Robust Features) is presented. It approximates or even outperforms previously proposed schemes with respect to repeatability, di
67506282mahalanobis
- 马氏距离的仿射不变性删除误匹配特征点 对，据此可求取2幅源图像间的仿射变换参数-Mahalanobis distance of the affine invariant features remove the false matching points Yes, according to the source to obtain two parameter affine transformation between images
cx8
- 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. T
tuxianpipei-dabao
- MATLAB图像配准源程序,初学者一起研究.图像配准的程序，在网上流传很多，本人把能找到的都打包.-MATLAB source image registration, novices together. Step one, calculated to be scale-space image registration and to obtain scale-space Harris corner step 2, using affine shape modification technolog
Affine
- 这是用OPENCV写的一个点配准程序，用的是纺射变换，实现二维图形的点配准，大家可以参考一下-This is a point to write OPENCV registration process, using a spinning shot transform, to achieve two-dimensional graphics point matching, we can refer to
PRM_zhang
- This package contains the Matlab implementation of the method proposed by W. Lian and L. Zhang, “Robust Point Matching Revisited: A Concave Optimization Approach,” in ECCV 2012.There are two main files, "demo_2D_similarity.m" for demonstrat
affine-invariant-moment
- 仿射图像匹配时候可以用到，需要已知先验知识，然后直接调用就可以了-Affine image matching can be used when the need is known a priori knowledge, then you can directly call the
SIFT-feature-matching-
- 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。该算法目前外文资料较多，但中文方面的介绍较少。为此 我撰写了这篇文档，以帮助国内的研究学者尽快入门，以最快的速度去体验 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
Novel-NSEW-Affine-transformation-for-strategic-fr
- Video compression standards follow certain principles for frame identification based on Group of Pictures (GOP). It was observed that instead of following the pre-coded GOP, if frames are adaptively chosen based on simple matching criteria, further p
Affine-invariant
- Affine-invariant shape matching and recognition under partial occlusion