搜索资源列表
Prosac
- 用opencv2.3.1+vs2008实现PROSAC算法。PROSAC是比ransac算法更快的剔除无匹配算法。前提是，这种策略的前提是假定匹配度高的特征是内点的概率比匹配度低的特征要高。 -With opencv2.3.1+ vs2008 realize PROSAC algorithm. PROSAC is faster than ransac algorithm of eliminate no matching algorithms. Premise is, this strategy
subpixelMatching
- 用于双目立体图像校正：亚像素角点、双向粗略匹配、用RANSAC方法计算F、opencv自带函数矫正图像-For binocular stereo image correction: the corner points of the sub-pixel, two-way rough match, use the RANSAC method F comes with opencv function corrected image
Qt_RobHess_SIFT
- RobHess的SIFT源码 RANSAC去除误匹配-SIFT the source code for RobHess RANSAC remove false match
robwhess-opensift
- 基于局部不变特征的图像匹配。利用SIFT算法实现局部特征的检测与提取，再用RANSAC算法筛选特征点，提高正确的匹配率。-Based image matching local invariant features. Use SIFT algorithm to detect and local feature extraction, and then filtering feature points RANSAC algorithm to improve the correct match rat
个人作业
- 实现sift，orb,surf，并可以用ransac匹配。(Implement sift, orb, surf, and match with ransac.)