搜索资源列表
face
- 人脸表情识别，包括提取特征点与识别，文件中有说明-Facial expression recognition, including the extraction of feature points and recognition, the document is described
SUSAN--MATELAB
- susan 源代码 在matlab环境下的源代码 提取特征点-susan code matlab
ExtractionFeaturePoints
- 自己写的在C#中利用EmguCV读入图像并提取特征点，提取特征点的算法有Moravec算子和Forstner算子。-C# implement the Moravec operator and Forstner operator.The image is input by functions of EmguCV.
20078919473159230
- 运用SIFT算法提取跟踪目标的特征点，对于开发基于SIFT算法的目标跟踪有很大的帮助-Target tracking using SIFT algorithm to extract feature points, for the development of target tracking algorithm based on SIFT great help
wld
- 一个应用于做人脸识别之前，对人脸来提取特征点的，带方向的滤波操作-wld is a filter to extract the important features from face image.
zSUSAN
- 此程序是关于susan算法提取特征点的 原理也很简单 运行程序后在结合原理 一定会掌握此算法的
Susan
- SUSAN算子提取特征点分布合理，不需要对图像求导，所以又较强的抗噪声能力-SUSAN operator to extract characteristic points distribution is reasonable, does not require image derivation, it is also strong resistance to noise
forstner
- 这个是用C++编写的forstner 算法代码。首先利用差分算子提取候选点再与阈值比较 提取特征点。-this is a programe is about forstner arithmetic.At first it use difference operator to choose the candidate points.
SIFTextractor(openpr)
- linux 环境下sift角点检测，基于sift提取特征点。-sift extractor
1111
- sift特征点提取代码和对两幅图像提取特征点后进行特征点匹配，可用于图像拼接等。-sift feature point extraction code and feature point matching, the two image feature extraction point can be used for image stitching.
demo_ASIFT_src.tar
- ASIFT 快速提取特征点和 图像的快速匹配 -SATFT matching
ssift-mattchi
- sift特征点提取代码和对两幅图像提取特征点后进行特特征点匹配，可用于图像拼接等。c和matlab代码都有 -sift feature point extraction code and the special feature points matching image stitching, etc., can be used to extract feature points of the two images. c and matlab code has
siftMatch
- 开发工具为c++6.0 能够实现将两幅图片提取特征点 然后进行匹配 并用mfc将其显示出来。-It is a sift programe and can deal with two images and can finds features between the two images.
Image-rectification_surf
- 用于双目立体图像匹配：用surf提取特征点、Flann匹配、RANSAC计算基本矩阵完成立体图像对的极线校正，用opencv实现-For binocular stereo image matching feature extraction point: surf, Flann matching, RANSAC calculation of the completion of the fundamental matrix the epipolar rectification of the ster
image-matching
- 影像匹配，针对左片和右片的影像匹配。具体流程：先建立影像金字塔，然后利用Moravec算子在影像上提取特征点，然后用相关系数作为评价准则，根据这些提取的特征点进行影像匹配-image matching, for the left image and right image. detailed process: first create an image pyramid, then extract feature points from the images with Moravec operat
matching
- 基于核线约束的最小二乘匹配，可以提取特征点-least squares matching
rectification_transf
- 对两幅图像提取特征点，并计算基本矩阵，对两幅图像进行极线矫正，并画出校正后图像特征点的极线，效果非常好-The two images of the image feature points in the feature points are extracted, and the calculated fundamental matrix, correction of lines of the two images, and after the draw correction lines, ver
harris
- 使用harris方法提取特征点，并保存特征点坐标-To extracted feature points use harris, and save the coordinates of the feature points
siftDemoV4
- David Lowe的sift提取特征点的源代码，适合新手进行图像的特征点提取-David Lowe sift extract characteristic points source code, suitable for novice image feature point extraction
siftDemoV4
- 图像提取特征点，基于128位向量特征匹配，-Image extraction of feature points based on 128-bit vector feature matching,