搜索资源列表
摄像头标定源码
- 摄像头标定源码 visual c++ 平台下实现,The source code of computer vision experiments, including the various canny edge detection, sift feature extraction, camera calibration, gabor filtering algorithm for stereo vision, etc.
SIFT(lowe)
- lower的原版关于sift算法的资料，很难找的哦。本文非常详细的介绍了sift算法，并与常用的边缘检测算法作了比较，是学习sift算法的好资料。-lower of the original information on the sift algorithm, it is difficult to find, oh. This very detailed introduction to the sift algorithm, and with commonly used edge detecti
SIFT
- 本程序将SIFT与边缘结合起来用来做图像配准 先用SIFT检测关键点 用CANNY算子进行边缘检测 进而优化选取最佳匹配点 进行向量匹配 图像配准。 -The program will combine the SIFT and the edge of image registration is used to make the first detection of the key points with SIFT operator with CANNY edge detection and th
Canny435435
- 这是一个canny边缘检测的程序-This a canny edge detection procedures.
CV_Experiments
- 计算机视觉实验的源代码，包括各种canny边缘提取，sift特征提取，摄像头标定，gabor滤波，立体视觉等算法。-Computer Vision experiment source code, including a variety of canny edge detection, sift feature extraction, camera calibration, gabor filtering, such as stereo vision algorithm.
ImageRetrieval
- 毕业设计，基于内容的图像检索，支持的检索特征包括 sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持，运行时请先选定一个文件夹来生成特征库，特征库用access数据库保存，只支持JPG文件-Graduate design, content-based image retrieval, search features, including support sift, color histogram, gray matrix,
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
SIFT
- SIFT算法实现，更加适合医学图像匹配，更好去掉边缘点，去掉误匹配-this is not original SIFT algorithms,can fit for operation pictures,delete the edge points,reduce the wrong match
edge-detection
- 本程序将SIFT与边缘结合起来用来做图像配准 先用SIFT检测关键点 用CANNY算子进行边缘检测 进而优化选取最佳匹配点 进行向量匹配 图像配准。 -The SIFT program used to do with the edge combination image registration using SIFT test first key with CANNY edge detection operator to optimize select the best match point
A_simple_method_to_steoro_match
- 汽车防撞，技术路径不外：1.雷达测距防撞；2.视差测距防撞。前者，一旦保有量较大，必定遭遇互相干扰问题；后者，以前主要问题是，算法复杂，实时性差。 本文公开了一种新算法（已申请发明专利），主要运算可以借助硬件组合逻辑模块并行执行，可以极大提高视差测距的实时性，满足汽车防撞的要求。-(Background) Stereo matching, requires in two images to identify two pixels to be matched each other, i
multiple-view-match-under-gui
- 将点匹配方法包括harris，sift,susan集成在GUI中显示，还包含了边缘的检测与直线的提取，此外还可以进行线分组，程序可直接运行-Harris, sift, susan point matching method is integrated in the GUI display also includes the extraction of edge detection and linear addition line grouping, the program can be run
sift-based-on-edge-corner
- SIFT 由特征提取，特征描述符描述和特征匹配 3 部分构成，该算子特征提取数目庞大，建立特征描述符运算 量高，导致算法效率低。提出了一种 SEC( SIFT-Edge-Corner) 算法，在图像尺度空间提取角点代替 SIFT 特征点，并根 据角点是边缘曲率极值理论，预先采用 Canny 算子得到高斯边缘图像金字塔，再提取角点并进行尺度选择。实验结 果表明: 该算法在保障高准确率的前提下大幅度提高特征提取效率-By the SIFT feature extraction, fea
SIFT_matlabe1
- This a MATLAB implementation of the SIFT keypoint detector and descr iptor -do_gaussian: generate Gaussian scale space of input image do_diffofg: generate Difference of Gaussian (DoG) scale space do_localmax: local extrema as the potential keyp
immH
- 使用两种方法实现图像拼接。一种是用SIFT算法自动实现，一种是用手动选取特征点（可边缘化图像），根据手动选取的特征点进行图像的变换和拼接。-Image stitching using two methods. One is to use SIFT algorithm automatically, one is manually selected features (edge of image), based on manual selection of feature points for im
ImageRetrieval
- ImageRetri （C++_毕业设计） sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持-ImageRetri Color histogram, gray matrix, HU invariant moment, edge direction histogram, retri method using K-means and K-D tree two, need OPENCV support (C++ _ gradu
SIFT拼接练习
- 图像拼接，使用了opencv里面的函数，对边缘进行了处理，效果较好(Image stitching, the use of OpenCV inside the function, the edge of the treatment, the effect is better)
ComputerVision-Problems-master
- Contains three problems - Texture Classification using k means and Laws filters, Vehicle Classification using SIFT and SURF features and BOWs approach and Edge Detection techniques