Description: 基于测地距离不变性的非线性降维算法源码，原文发表在2000年的Science杂志上，需要了解具体原理者请先看其论文。-based on geodesic distance invariance of nonlinear reduced dimension algorithm source code, the text published in 2000 in Science magazine, the need to understand the specific tenets who can post their papers. Platform: |
Size: 594456 |
Author:武旗 |
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Description: 基于测地距离不变性的非线性降维算法源码，原文发表在2000年的Science杂志上，需要了解具体原理者请先看其论文。-based on geodesic distance invariance of nonlinear reduced dimension algorithm source code, the text published in 2000 in Science magazine, the need to understand the specific tenets who can post their papers. Platform: |
Size: 593920 |
Author:武旗 |
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Description: 对于三维网格模型，求角距离和测地距离。对研究三维网格处理的的工作者，很有帮助。-For three-dimensional grid model, for angle distance and geodesic distance. The study of treatment of three-dimensional grid of workers, very helpful. Platform: |
Size: 3052544 |
Author:曾识 |
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Description: vc 求三维模型的测地线距离的算法，希望对大家有帮助-vc for three-dimensional model of the geodesic distance algorithm, we want to help Platform: |
Size: 16153600 |
Author:zhangyang |
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Description: 本代码实现等距映射isomap算法，保持高维空间测地距离不变-This code implements the isometric mapping isomap algorithm, to maintain a high dimensional space, the same geodesic distance Platform: |
Size: 2048 |
Author:刘国胜 |
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Description: 用于计算测地距的lib，特别适用在3D模型上，比如三角面片上。非常快速。代码非常简单好用，matlab版本的例子给的比较好，请仔细参考。C++版可看文档内部地址下载-Used to calculate the geodesic distance lib, especially for the 3D model, such as the triangular surface-chip. Very fast. The code is very simple and easy to use, matlab version of the example given is better, please reference. C++ version can be downloaded to see the internal documents Platform: |
Size: 308224 |
Author:祝浩 |
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Description: 计算测地距离，测地距离是众多距离的一种，在高维流行数据分布空间上，欧式距离不再适用，这时就可用到欧氏距离-Computing geodesic distance, geodesic distance is a large distance, popular in high-dimensional data distribution space, the Euclidean distance is no longer applicable, then you can use the Euclidean distance Platform: |
Size: 1024 |
Author:鲁国小莉 |
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Description: 基于等距映射( ISOMAP) 非线性降维算法, 提出了一种新的基于用户击键特征的用户身份认证算法, 该算法用测地距离代
替传统的欧氏距离, 作为样本向量之间的距离度量, 在用户击键特征向量空间中挖掘嵌入的低维黎曼流形, 进行用户识别。用采集
到的1 500 个击键模式数据进行实验测试, 结果表明, 该文的算法性能优于现有的同类算法, 其错误拒绝率( FRR) 和错误通过率
( FAR) 分别是1.65 和0 , 低于现有的同类算法。-Based isometric map (ISOMAP) non-linear dimensionality reduction algorithm, we propose a new feature based on the user' s keystrokes the user authentication algorithm with geodesic distance instead of the traditional Euclidean distance between the sample vector as distance measure, the feature vector space in the user' s keystrokes to mine low-Wei Liman embedded manifold, for user identification. 1 with the collected data for 500 Typing Mode experimental test results show that this algorithm outperforms existing similar algorithm, the false rejection rate (FRR) and error through rate (FAR) is 1.65 , respectively, and 0 , lower than existing similar algorithms. Platform: |
Size: 184320 |
Author:罗朝辉 |
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Description: 计算测地距离，寻找非刚性表面的最短距离，即测地距离-Calculate the geodesic distance to find the shortest distance of the non-rigid surface, the geodesic distance Platform: |
Size: 240640 |
Author:罗如君 |
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Description: Fast Matching 算法的实现，快速计算三维模型任意两点之间的测地线距离-Implementation of Fast Matching algorithm. Use for computing geodesic distance between any pair of vertices on a 3d mesh. Platform: |
Size: 1438720 |
Author:丁志轩 |
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Description: 三维的网格模型，期间任意两个点的测地距离指的是这两个点的最短路径，三维网格模型中任何两个点之间的最短路径。-Three-dimensional mesh model, any two points during the geodesic distance refers to the shortest path of these two points, 3D mesh model in any shortest path between two points. Platform: |
Size: 3976192 |
Author:王成 |
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Description:
Abstract—Recently, a 3D face recognition approach based on
geometric invariant signatures, has been proposed. The key idea
of the algorithm is a representation of the facial surface, invariant
to isometric deformations, such as those resulting from facial
expressions. One of the crucial stages in the construction of the
geometric invariants is the measurement of geodesic distances on
triangulated surfaces, carried out by fast marching on
triangulated domains (FMTD). Proposed here is a method, which
uses only the metric tensor of the surface for geodesic distance
computation. When combined with photometric stereo used for
facial surface acquisition, it allows constructing a bending-
invariant representation of the face without reconstructing the 3D
surface. -
Abstract—Recently, a 3D face recognition approach based on
geometric invariant signatures, has been proposed. The key idea
of the algorithm is a representation of the facial surface, invariant
to isometric deformations, such as those resulting from facial
expressions. One of the crucial stages in the construction of the
geometric invariants is the measurement of geodesic distances on
triangulated surfaces, carried out by fast marching on
triangulated domains (FMTD). Proposed here is a method, which
uses only the metric tensor of the surface for geodesic distance
computation. When combined with photometric stereo used for
facial surface acquisition, it allows constructing a bending-
invariant representation of the face without reconstructing the 3D
surface. Platform: |
Size: 266240 |
Author:arkan |
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Description: 测地距离核方法的预适应方法，将源域和目标域降到一个共同子空间进行学习(The geodesic distance, the domain adaptation method of the kernel method, reduces the source domain and the target domain to a common subspace for learning) Platform: |
Size: 317440 |
Author:谢天次
|
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Search - geodesic distance