搜索资源列表
ransacOverlap
- 程序使用sift提取和匹配图像的特征点，使用RANSAC得到图像的单应矩阵H，再将其中一幅图像通过H变换到另一幅图像的坐标系中。最后计算得到两幅图像重叠区域。图像可以换成自己的。-This code use SIFT to extract and match feature points.Then RANSAC is utilized to calculate homography matrix.Finally,the overlap rate of these two images will
Surf
- 本程序通过提取SURF特征，实现同一场景不同视角特征点的匹配-The SURF program by extracting features different perspectives of the same scene to achieve matching feature points
draw-characteristic-and-match
- 用sift方法检测图像的特征点，并且求出特征向量从而匹配图像。-Sift method is used to inspect the image feature points, and to find the feature vector which match the image.
siftDemoV4
- sift描述子,用来提取特征点以及匹配 计算机视觉的重要基础-sift descr iptors important foundation for extracting feature points and matching of computer vision
RanSacCode
- 该代码用于对错误匹配点进行过滤操作，即去除错误的匹配点-The code is used to remove the wrong match points,and make sure the right matching.
sift
- sift算法匹配图像特征点（opencv）-sift algorithm for image matching feature points (opencv)
SIFT_stitching
- 输入两幅图像，查找SIFT特征点，显示两张图的匹配点，并对图形进行拼接，效果不错。-Enter the two images, find SIFT feature point matching point display two graphs, graphics stitching, good results.
image-matching-evaluating
- 对匹配特征点的精度进行评价,MTALAB和C混编而成的-To uate the accuracy of matching feature points
fenpei
- 经典的匈牙利算法，可用于特征点的匹配，比较有用-xiong yali
VS2010surf-DETCET
- VS2010上实现SURF算法对单张图片进行特征点检测并将特征点标出，注意此程序并没有2张图片的匹配-The realization of a single picture VS2010 SURF algorithm for feature point detection and feature points marked, note that this program does not match two pictures
ImageTest02
- 利用C#进行图像处理,本程序实现点运算及直方图.实现了直方图的绘制,线性点运算,直方图拉伸,直方图均衡化,直方图匹配-image process based on C#
robustmatching
- 3D重建中实现特征点精确匹配经过测试通过，并且鲁棒性较好-3D reconstruction feature points to achieve an exact match
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
3D-Reconstruction.
- 择了一种速度、特征点数量和精度都比较好的组合方案：FAST角点检测算法+sift特征描述子+FLANN(Fast Library for Approximate Nearest Neighbors) 匹配算法。-Choose a speed and precision of the number of feature points are relatively good combination scheme: FAST corner detection algorithm+sift featur
SIFT
- SIFT匹配（Scale-invariant feature transform，尺度不变特征转换)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量，其应用范围包含物体辨识、机器人地图感知与导航、影像缝合、3D模型建立、手势辨识、影像追踪和动作比对。-Matching SIFT (Scale invariant feature transform, Scale invariant feature transform) is a co
aco-v1.1
- 采用蚁群优化算法的轮廓匹配，输入可以是二值轮廓或者是任意的二维点集-This MATLAB implementation computes a correspondence between two shapes based on ant colony optimization (ACO). The input shapes can be either two 2D contours (open or closed) or two arbitrary sets of 2D points.
Use-the-feature-point-matching-FLANN
- 使用FLANN进行特征点的匹配 VS2010+Opencv2.49-Use FLANN feature points matching VS2010+ Opencv2.49
CorreMatch
- 图像的简单匹配程序，在左影像上点一点，然后使用相关系数法在右影像上进行全局遍历，找到相关系数最大的点，设为匹配的目标点。-Simple image matching program, the image on the left point a little, and then use the correlation coefficient on the right image globally traversal, find the maximum point of the correlatio
SIFT-copy-move-detection
- matlab 提取SIFT特征，并完成特征点的匹配以实现复制粘贴篡改检测-Extract SIFT features of the image and match the keypoint to detect the cony-move fogery
Describe-SURF-Features
- 使用SURF特征检测和匹配特征点，使用SURF特征检测和匹配特征点-Describe SURF Features