搜索资源列表
GLOH
- Mikolajczyk在2004年提出了尺度和仿射不变量的兴趣点检测 GLOH 算法-Mikolajczyk in 2004 put forward a scale and affine invariant interest point detection algorithm GLOH
MSER
- 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
AnAffineInvariantSalientRegionDetector
- 仿射不变区域描述子的文章，介绍了描述子如何构造，堪称经典文献-affine invariant
CNNfeatureextraction
- 提出了一种基于目标边界的不变特征提取方法。导出了用物体角点坐标表示的低阶边界矩的闭合形式，构造了 基于边界矩的仿射变换不变量。该方法只需要对物体角点进行简单的代数运算，因此，该方法简单明了，计算量很小。实 验结果证明了该方法的有效性-A goal of the border based on the same feature extraction method. Exporting objects with corner coo
MSA_moment
- 运用多尺度自卷积计算图像的仿射不变矩的方法，该方法新颖，具有一定的创新性-Using multi-scale image from the convolution calculation of affine invariant moment method, which is novel, has some innovative
Combined_Blur_and_Affine_Invariants
- matlab仿射不变变换程序,使用Long精度。-Affine Invariants matlab program
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 ima
Stateoftheartonfeaturematching
- 介绍图像特征匹配技术发展现状，包括角点检测，边缘检测，仿射不变特征检测等-Introduction Development of the image matching technology, including corner detection, edge detection, affine invariant feature detection
mser
- 基于Matlab实现了图像MSER仿射不变特征的提取-Matlab implementation of image-based affine invariant feature extraction MSER
MSA
- 仿射不变特征提取 多尺度自卷积方法-The Multi-Scale Autoconvolution (MSA) method offers a novel way of approaching this problem. The method provides affine invariant features with only moderate computational complexity and does not requir
An-Algorithm-for-Face-Recognition-
- 高独特性特征的选择以及合适匹配策略的选用是人脸识别技术的关键。讨论了基于仿射不变的几何特 征SIFT算子进行人脸识别的方法。SIFT算子的计算复杂度较高，并且不同的人脸表情和图像模糊会加大特征匹 配的难度。为克服上述缺点，提出了一种新的算法，将选择6个人脸上感兴趣子区域进行描述，并根据各自的独特 性赋予不同的权值，最后在匹配过程中使用相似度的平方来减小偏差数据造成的影响。实验结果表明，该方法能 有效减轻表情变化对于身份识
affien-invariant-moment
- 对发生仿射变换的图像，通过计算仿射不变矩来获得图像的不变特征。-Affine transformation of the image occurs, by calculating the affine invariant moment to get the image of the same features.
ObjectMatchingwithAffine-Invariant
- 基于局部仿射不变的特征匹配算法，包含全部.m文件，很有价值。-Based on local affine invariant feature matching algorithms, including all. M file of great value.
MSER_matlab
- 经典图像处理算法，即仿射不变算法mser的仿真代码，用于分析其算法的有效性。-The classical image processing algorithms, affine invariant algorithm mser simulation code used to analyze the effectiveness of their algorithm.
pipei
- 这是基于仿射不变特征的图像匹配技术算法，值得参考下载！-This is based on the algorithms of affine invariant features image matching technology, worth considering download!
BW_image
- 二值化图像判断相似性的一种方法，可保证仿射不变-Analyzing binarized image similarity method can guarantee affine invariant
MBAIS
- 基于模糊仿射不变矩的图像复制粘贴篡改被动认证-copy-move forgery detection based on MBAIS
affintpoints
- 仿射不变Harris, Laplacian, det(Hessian) and Ridge 特征点检测 参考文献：An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.-Matlab code for detecting Affine spatial interest points. Includ
src_mrogh_FANBIN_2012
- 一个演示如何使用“LineMatcher”库的示例,该库用于生成仿射不变匹配直线。详细算法参考Bin Fan, Fuchao Wu and Zhanyi Hu. Line Matching Leveraged by Point Correspondences, In CVPR 2010, pp 390-391. 示例中基于opencv2.2获取匹配点，系统配置为 Win 7 32bits + VS2010 realese -A de
提取五个特征量中的Hu矩和仿射不变矩
- 提取五个特征量中的Hu矩和仿射不变矩,亲自测试好用，可放心下载(Extraction of Hu moments and affine invariant moments in five eigenvalues)