搜索资源列表
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.
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.
sift
- 改进的sift匹配算法，提取到sift特征点之后加上ransac去做筛选误识别点-After matching algorithm Improved sift, sift feature points extracted to do screening plus ransac erroneous identification point
SIFT
- SIFT算法的C实现把检测SIFT特征图像和使用SIFT（或其他）的特点来计算图像的变换与RANSAC-This is 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 w
Image-Registration-based-on-SIFT
- 基于sift初匹配 ransac细匹配算法 十分实用-Based sift First match ransac very fine matching algorithm using
surfmatch
- surf匹配算法外加kdtree的匹配策略和ransac误差剔除-surf match kdtree ransac
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)
ransac_demo
- RANSAC在图像拼接中有所使用，有时候也在图像理解的相关算法中有所使用。(Random sample consensus (RANSAC) is an iterative method to estimate parameters of a mathematical model from a set of observed data)