搜索资源列表
Pyramid-based-image-matching
- 金字塔分层搜索匹配,其中有GUI界面,方面用户直接输入待测图片和模板。-Hierarchical search match the pyramid, including GUI interface, the user directly measured in images and templates.
spatial_pyramid_code
- 金字塔匹配算法,包括SIFT特征点的提取,聚类和构造金字塔特征表示,论文参考:Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories matlab代码
libpmk
- Pyramid Match是最新提出的一种特征匹配方法,不同于金字塔操作,而是一种全新的层次匹配方法,可以用在大量特征之间的快速匹配,这个相关的lib,用在linux下,但也可以改造到vc下面-Pyramid Match is one of the most recent feature matching method, different from the pyramid operation, but an entirely new level matching method, a large
siftdemo
- 改程序采用C语言编写SIFT算法,包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现,对全面深入理解Lowe的SIFT算法有莫大帮助。-Change the use of C language program SIFT algorithm, contains the complete Gaussian pyramid from the image, DOG, space extremum point extraction, descr ipt
pyramid
- OpenCV+VS2008实现金字塔算法-OpenCV+ VS2008 pyramid algorithm to achieve
jzy-pyramid
- 本程序是关于金字塔生成以及利用生成影像进行逐层匹配的最新代码 希望大家踊跃下载 一起切磋一起进步-This program is generated on the pyramid layer by layer and the use of images generated match download the latest code with the hope that we actively demonstrate their progress with
WaveletTransform
- 提出一种基于小波变换的图像配准方法。该方法首先用小波变换提取边缘特征点, 同时构成小波金字塔影像。在最高层利 用角度相关系数确定基准图像和配准图像之间的旋转角度, 经多分辨分级搜索匹配得到最终匹配特征点对, 利用这些特征点对待 配准图像进行配准纠正。实验结果表明, 改进方法有较好的效果, 可用于广泛应用领域。-Proposed a wavelet-based image registration method. In this method, using wavelet transfor
Matching
- 金字塔影像及相关系数法匹配(8 位BMP),可以对打幅影像做金字塔处理,然后再进行相关系数法的匹配-Pyramid match images and correlation coefficient (8 BMP), images can be pyramid processing rally site, and then match the correlation coefficient method
DetectMTInDB
- vs2010下两张图片之间、进行sift匹配,角点LK金字塔光流跟踪,surf匹配。有绘制特征点主方向和辅助方向。具体仔细看代码。-vs2010 down between two pictures, make sift matching corner pyramid LK optical flow tracking, surf match. Have drawn the main direction of the feature points and the auxiliary directio
The_pyramid_match
- 金字塔匹配的原文,很有用的,大家可以看看,有意义-The pyramid match kernel Discriminative classification with sets of image features