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siftKdtreeRansacCode
- 计算机视觉基本算法 包括: sift KDtree Ransac 提取特征 检索 排错 不错的代码-computer vision including： sift KDtree Ransac
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
test
- 双目视觉的立体匹配和特征点检测，sift/surf/orb等特征都可以，ransac方法去噪-Stereo matching and feature points detection, sift/surf/ORB and other characteristics of the binocular vision can RANSAC method de-noising
The-image-registratio-SURF
- 首先用 SURF 方法提取特 征点 其次用最近邻匹配法找出对应匹配点对 结合 RANSAC 和最小二乘法求出图像之间的映射关 系 最后利用所求的变换参数插值得到配准后的图像-First with SURF extracted feature points followed by the nearest neighbor matching method to find the corresponding matching points RANSAC and least squares me
surf-ransac
- 提取surf特征点，并使用ransac算法剔除误匹配点-use surf detect feature points and use ransac delete wrong matching points
image-matching-using-surf-and-ransac
- 对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果-Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descr iptor, then according to the results, the coars
SURF-based-image-stitching
- SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。
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.
surfmatch
- surf匹配算法外加kdtree的匹配策略和ransac误差剔除-surf match kdtree ransac
个人作业
- 实现sift，orb,surf，并可以用ransac匹配。(Implement sift, orb, surf, and match with ransac.)
surf
- 用surf和ransac实现两幅图像配准(Registration of two images with surf and RANSAC)
image registration by sift and surf
- sift和surf特征点提取，然后进行配准，通过ransac进行提纯(Sift and surf feature points are extracted, then registered and purified by RANSAC)
RANSAC+SURF
- 基于SURF算法实现图像特征提取与描述，使用RANSAC进行图像细配准(SURF algorithm was used to extract and describe image features, and RANSAC was used for image registration)
ransac
- 使用SURF算法实现彩色图像拼接技术，完成图像拼接(Using surf algorithm to realize color image mosaic technology and complete image mosaic)