搜索资源列表
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c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation.
It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
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由国外著名大学编写的非常有效近似最近邻分类算法的源码与库，可直接使用，也可作为学习-Well-known universities from abroad prepared very effective approximate nearest neighbor classification algorithm source code and libraries, can be used directly, can also be used as study
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FLANN - Fast Library for Approximate Nearest neighbors
This is a library for fast approximate nearest neighbor matching. -FLANN- Fast Library for Approximate Nearest neighbors This is a library for fast approximate nearest neighbor matching.
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本代码是ANN算法求最近元素的实现代码，使用时只需将ANN/ANNx.h包含进去即可-that is a good library to implement the algothrim of approximate nearest neighbor
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code for approximate nearest neighbor search
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快速计算近似最近邻域，可用于图形处理中计算点云的k-Quickly compute approximate nearest neighbor, can be used for graphics processing point cloud computing knn
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查找二维和三维空间中K最近邻点的算法，在Approximate Nearest Neighbor Searching（ANN）的基础上进行了包装，易于使用。-Find the two-dimensional and three-dimensional space of K nearest neighbor algorithm, Approximate Nearest Neighbor Searching (ANN) based on the packaging.
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This toolbox contains C++ files that implement the
Approximate Nearest Neighbor Library (ANN)
and and its utility functions in matlab.
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The code implements a coarse-to-fine variational framework for optical flow estimation between two image frames that incorporates descr iptor matches in additiona to the standard brightness and gradient constrancy constraints, for dealing effectively
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