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.
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
ReadBundleOutFile
- 分析读取Bundler输出的.txt,.key文件，对三维点云sift特征建立KD树索引。-Parsing Bundler Output including .txt& .key Files to construct a KD tree Index.
ImageRetrieval
- 毕业设计，基于内容的图像检索，支持的检索特征包括 sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持，运行时请先选定一个文件夹来生成特征库，特征库用access数据库保存，只支持JPG文件-Graduate design, content-based image retrieval, search features, including support sift, color histogram, gray matrix,
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
Algorithm-for-Sequence-Image-Automatic-Mosaic-bas
- Abstract—Constraining by cameras’ view-angles of the outdoor monitoring systems, the panoramic digital images fail to be obtained directly from photographing. A method is proposed on the basis of the scale invariance feature transform (i.
sift-kdtree
- 程序实现了对图像sift特征的提取，并利用KD-树对图像进行相似度匹配。-Program image sift feature extraction and similarity matching KD-tree image.
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-KD-tree-image-panorama-opencv
- SIFT KD树 图像拼接 全景图_多幅图 opencv -SIFT KD tree image mosaic panorama _ Multiple Figure opencv
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
Processing.tar
- 包内为探测图像极值，检测SIFT特征和构建K-D树等功能的源码。- Package for the detection of extreme images, detecting SIFT features and functions to build the source code KD tree.
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.
sift-kd-treePsansac
- 基于SIFT 的电子稳像技术。用SIFT+KDTREE+RANSCA实现-image stabilization based on sift+kd tree+ransac