搜索资源列表
siftDemoV4
- sift算法在图像匹配领域有着重要作用，通过sift算法可以将模板图片和待检测图片进行特征点提取并进行匹配。-sift algorithm has an important role in the field of image matching, sift algorithm by template image and image to be detected can be the feature point extraction and matching.
45398761sift
- 本代码是应用sift算法进行的特征点匹配与配准，可以应用于图像拼接，人脸识别等等，用法非常强大。可以运行-This code is matched with the feature point registration application sift algorithm can be applied to the image stitching, face recognition, etc., usage is very powerful. You can run
image-feature-detection-and-matching
- 用于图像特征提取和匹配，三维重建等的经典方法，包括sift，surf，Harris，RANSAC,8点算法等-For image feature extraction and matching, 3D reconstruction and other classical methods, including sift, surf, Harris, RANSAC, 8 point algorithm, etc.
360_panorama
- 采用opencv库，实现柱面全景拼接，采用特征点匹配SIFT算法。-Using OpenCV library to achieve cylindrical panoramic stitching.
SIFTandSURF
- 基于OpenCV，VS2010的环境下，通过SIFT或SURF算法提取物体（此处为象棋）的特征，两张图像的特征进行匹配，匹配点多则认为是同一图像。电脑系统是WIN7，x64。假如是其他版本系统简要配置一下OpenCV环境就可以使用。-Determine the objects are same or not based on OpenCV.
SURFandRANSAC
- 本程序的功能是基于opencv库，用SURF提取特征，并保存描述子，再用随机抽样一致性算法剔除错误的匹配点，保存匹配好的点坐标，效果可以，你也可以换成SIFT或ORB来看效果。-This procedure is the function of feature extraction using SURF, and save the descr iptor matching points and random consistency algorithm to eliminate errors, s
Landmark-recognition
- 读取路标图像，然后对图像预处理，提取特征，训练模板，识别时使用sift匹配识别,还有GUI界面，点击运行以后就可以使用，带有图像库-Read signs image, then the image preprocessing, feature extraction, training templates, identifying matching using sift recognition, as well as the GUI interface, you can click on Run
OpenCV_Surf
- 基于OpenCV实现的，基于SIFT和SURF算法的特征点提取匹配程序，包含野点消除，和Ransac处理过程。-OpenCV to achieve, based on the feature point extraction algorithm SIFT and SURF matching procedures, including the elimination of outliers, and Ransac process based.
sift1
- SIFT_特征提取与匹配算法，通过matlab 编写完成，讲述sift的算法-SIFT_ feature extraction and matching algorithm, through the preparation of MATLAB complete, about the SIFT algorithm
SIFT_and_ransac
- sift-and-ransac结合的图形图像特征点匹配于删除误匹配点-Graphic image feature point sift-and-ransac binding matches delete mismatching points
suanfa
- sift算法，特征点的提取与匹配，图像融合，图像拼接。测试过，效果不错，特征点提取较稳定。-Sift u7B97 u6CD2 uFF0C u7279 u5F1 u70B9 u7684 u63D0 u53D6 u4E0E u5339 u914D uFF0C u56FE u50CF u878D u5408 uFF0C u56FE u50CF u62FC u63A5 u3002 u6D4B U8BD5 u8FC3 uFF0C u6548 u67
2476124
- 基于特征的影像匹配——SIFT Method!!! 相当经典,只不过是MatLab源码-Based on the characteristics of image matching, SIFT Method!!!!!!
图像拼接技术
- 利用sift算法提取两张图像的特征点，利用ransac去除误匹配，最后将两张图片拼接在一起(Using sift algorithm to extract the two feature points of the image, the use of ransac to remove the wrong match, and finally the two pictures together)
Methog_Based
- 基于特征的影像匹配——SIFT Method!!! 相当经典,只不过是MatLab源码(Based on the characteristics of image matching, SIFT Method!!!!!!)
图像拼接技术
- 运用sift算法进行特征点的提取并实现特征点的匹配与融合(SIFT algorithm is used to extract feature points and realize matching and fusion of feature points.)
图像拼接
- 运用UI界面，设置了可以多张图片进行拼接，运用了SIFT算法提取特征点，描述特征点生成特征向量，用RANSAC算法进行精匹配，最终完成多种图像拼接
ASIFT_slides_20min_v5
- ASIFT算法就是为了解决SIFT、ORB、SURF等特征描述算子倾斜匹配的问题。上面的这些算法可以很好的应对尺度、旋转情况下的匹配，但是对于倾斜影像的特征点匹配只能提取很少量的特征，所以作者提出ASIFT来解决这个问题。(If a physical object has a smooth or piecewise smooth boundary, its images obtained by cameras in varying positions undergo smooth apparen