搜索资源列表
SIFT_area_match
- SIFT算法的区域匹配，比原有的SIFT+KD树匹配更加高效、准确。-different area SIFT algorithm which is better than the original SIFT and KD tree match.
kdtree
- K-D树源码，不错的空间查找算法，在三维重建和匹配中应用较多！-KD tree source, good space search algorithm, in the three-dimensional reconstruction and matching the application of more!
sift-1.1.1_20071108_win
- Rob Hess的SIFT算法的C语言实现(基于OpenCV),金字塔采样和高斯差分提取特征点，K-D树寻找同名点，RANSAC去粗差-Rob Hess of the SIFT algorithm C language (based on OpenCV), sampling and Gaussian pyramid differential extraction of feature points, KD tree search for points of the same name, RANS
ImageStitch
- 基于SIFT算法的图像拼接 主要是运用SIFT算法求得特征点，然后用kd_tree进行特征点匹配，根据匹配点求得2x2的变换矩阵，然后利用变换矩阵变换图像（需要插值）。-Image Stitch Based on SIFT
kdtree
- 基于手机系统图像拼接中kd树算法的实用程序-a program of kd tree arithmetic
sift-panoramas
- 用SIFT+kd-tree+RANSAC算法。首先，提取SIFT特征点，再次构建kd-tree寻求与关键点最近的和次近的点，用BBF搜索算法遍历，再由RANSAC求变换矩阵 -Algorithms SIFT+kd-tree+RANSAC. First, the extracted SIFT feature points again to build a KD-Tree to seek the key points and sub-points near BBF search algorith
siftPransac
- SIFT点提取，KD树特征匹配，再用随机抽样一致算法去除无匹配-SIFT extraction, KD tree feature matching, and then remove the non-random sample consensus algorithm matches
sift_robkdtree
- sift算法寻找特征点，并用KD树法匹配特征点-sift algorithm to find the feature points and match with KD tree method feature points
asift_Algorithm
- 实现图像的自动配准，是SIFT算法的改进算法，同时在ASIFT匹配阶段，对算法进行了修改，采用KD树结构进行搜索。-Automatic registration of images is SIFT algorithm improved algorithm, while ASIFT matching stage, the algorithm was modified using the KD tree search.
kdtree_search
- PCL官方文档中所带的kd树搜索的相关算法-PCL official documents related algorithms brought kd tree search