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
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.
lightrender
- GxRay 是一个高品质的光线追踪渲染器，支持多种高级渲染技术。GxRay可以对各种基本几何体(球体、长方体、圆柱体、凸面体、平面等)以及复杂的三角形网格进行光线追踪。使用KD树加速追踪过程，优化渲染速度。支持多线程渲染，充分利用多核CPU的计算能力。-Physically Based Rendering : From Theory to Implementation
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,
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
kdtree
- 在图像处理中，用最优节点优先法，建造kd树，用于特征点匹配-In the image processing, the optimal node with priority method, build kd tree, used for matching feature points
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.
KD-Tree
- 基于opencv的一个KD-树的一个简单实现 可用-A simple implementation of KD tree
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
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.
kd-tree
- KD-Tree是一种由二叉搜索树推广而来的用于多维检索的树的结构形式-KD-Tree is a binary search tree by a promotion the tree is used to retrieve the multidimensional structure
KDTREE
- kd树，一个简单的kd树实现，只能用于简单的理解-kd tree, a simple kd tree implementation, only for simple understanding
SIFTPanorama
- KD树建立及树检索源代码，在多幅图像配准上有成功实现功能-KD tree and tree establishment to retrieve the source code in multiple image registration on the successful realization of functions
KD_tree
- 用于多节点创建的KD树创建，实现数据划分-KD tree is used to create a multi-node created, data division.
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
creat kd_tree2
- 多维KD树建立的完整代码，用于最近邻匹配。(The complete code created by the multidimensional KD tree is used for nearest neighbor matching.)