搜索资源列表
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
FinalReportKEY
- rEPORTE DE sIFT USANDO KEYPOINTS
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
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
SiftGPU-V360
- SiftGPU 是SIFT特征为GPU执行。 SiftGPU进程像素平行建立高斯金字塔的技术要点。基于GPU的清单生成，SiftGPU然后使用的GPU / CPU的混合方法，有效地建立紧密特征点的名单。并行处理技术要点最后得到他们的方向和描述。-SiftGPU is an implementation of SIFT for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Key
SiftGPU-V370
- 使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual-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[3], SiftGPU th
find-keypoints
- 找出图形特征点，以便在连续帧图像进行定位-find keypoints
SIFT
- Apply David Lowe s Scale Invariant Feature Transform (SIFT) algorithm to a grayscale image. This algorithm takes a grayscale image as input and returns a set of scale- and rotationally invariant keypoints allong with their corresponding feature descr
harris
- harris is a very important tool for many vision system,this txr shows the keypoints detections by harris.
SIFT
- SIFT 图像匹配经典 Distinctive Image Features from Scale-Invariant Keypoints -classic papers of SIFT image matching Distinctive Image Features from Scale-Invariant Keypoints
SURFimage_stitching
- a program that stitching two images in one by using surf keypoints. implemented in C++ and OpenCV.
aaaDistinctive---Image---Features
- 英文资料 Distinctive Image Features from Scale-Invariant Keypoints-aaaDistinctive Image Features from Scale-Invariant Keypoints_2004 by David lowe
DistinctivePimagePfeatures
- Distinctive image features from scale invariant keypoints
circle-center-fast-accurate-locating
- 摘要：针对SIFT算法在圆心检测应用中的特点，分析了SIFT算法中存在的冗余步骤，提出对其进行简化改进： 估计圆心所在的金字塔层，删减金字塔中多余的层数建立，并且通过提高滤除低对比度特征点阈值的办法减少 背景特征点的生成，去掉了特征点辅方向分配和建立辅方向特征点这一步骤。分别对计算机模拟生成的标准 圆和实际的PCB定位标志图像做了圆心检测实验，实验表明，SIFT算法改进后在没有降低其定位精度及对图 像的模糊、光照、仿射等变换适应性的情况下，大大缩短了检测时间，提高了检测效率。