搜索资源列表
200747918278555
- Distinctive Image Features from Scale-Invariant Keypoints-Distinctive Image Features from Scale-In variant Keypoints
lowe_keysV3.tar
- This directory contains a research implementation of the SIFT software for invariant keypoint detection described in papers by David Lowe. See the web page at http://www.cs.ubc.ca/~lowe/keypoints/ for references to the latest papers
SFIT
- 一组提取图像SIFT特征的源码，效果相当不错。包括一个SIFT特征库以及一些程序。需要opencv及gsl库- This is a collection of code been put together to detect SIFT features in images. It includes a SIFT function library as well as some executables to detect, match, and display
harris
- harris算子寻找角点，并实现配准。附试验材料。-harris corner operator to find and to achieve registration. Test materials attached.
SIFT
- Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe 这是一个很好的图象匹配算法（SIFT），同时能处理亮度、平移、旋转、尺度的变化，利用特征点来提取特征描述符，最后在特征描述符之间寻找匹配。 -Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe 这是一个
gaussianss
- 进行特征匹配，选用的是sift算法，该算法匹配能力较强-Distinctive Image Features from Scale-Invariant Keypoints
SiftGPU_V340
- SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation, SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lis
FinalReportKEY
- rEPORTE DE sIFT USANDO KEYPOINTS
sift.tar
- This a collection of code I ve put together to detect SIFT features in images. It includes a SIFT function library as well as some executables to detect/display keypoints.-This is a collection of code I ve put together to detect SIFT features i
FacNorrmalizationUsingMultiscaleKeypoints
- this paper shows how we can normalize face geometrically using keypoints before face recognition takes place. consequently increasing the recognition rate.
sc_demo
- ShapeContext的著名demo 结合介绍对shapecontext有较好的理解-Demo for shape context, a famous descr iptor for keypoints matching, which has rotation and scale invariant.
SIFT
- 两份SIFT的重要资料：Distinctive Image Features from Scale-Invariant Keypoints（by David G. Lowe）,SIFT特征匹配技术讲义(by 赵辉)-SIFT two important information: Distinctive Image Features from Scale-Invariant Keypoints (by David G. Lowe), SIFT feature matching technical
mod_lowe_demoV2.tar
- This directory contains a compiled binary program for performing invariant keypoint detection as well as sample code showing the use of the keypoints for image matching.-This directory contains a compiled binary program for performing invariant k
harrishessian
- This document describe how to extract keypoints form pictures. Method used - harris affine and hessian affine
affintpoints
- Source code showing laplace method of extracting keypoints
spare_texture
- Spare texture representation using local keypoints
shilpa_Visual_categ_with_bags_of_keypts
- Visual categorization with bags of keypoints
sift-latest.tar
- This a collection of code I ve put together to detect SIFT features in images and to use SIFT (or other) features to compute image transforms with RANSAC. It includes a SIFT function library as well as some executables to detect, match, and
zuidashang
- 一种基于最大熵和部件的物体检测方法。在人脸检测上的应用取得了很大的准确率提升。-This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of scale- or affine-invariant ke
find-keypoints
- 找出图形特征点，以便在连续帧图像进行定位-find keypoints