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Description: 快速高效的图像分类器，
Bag of features:
A simple bag of features classifier.
作者:Andrea Vedaldi
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Size: 20396 |
Author: 罗彤 |
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Description: Andrea Vedaldi关于sift的经典文章，在原来的基础上做了改进
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Size: 557024 |
Author: 蒲金霞 |
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Description: 快速高效的图像分类器，
Bag of features:
A simple bag of features classifier.
作者:Andrea Vedaldi -Fast and efficient image classifier, Bag of features: A simple bag of features classifier. Author: Andrea Vedaldi
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Size: 20480 |
Author: 罗彤 |
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Description: Andrea Vedaldi关于sift的经典文章，在原来的基础上做了改进-Andrea Vedaldi classic article on the sift in the basis of the original made improvements
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Size: 557056 |
Author: 蒲金霞 |
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Description: UCLA一个博士生Andrea Vedaldi编写的SIFT算法-A doctoral student named Andrea Vedaldi of UCLA wrote this SIFT algorithm code
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Size: 3575808 |
Author: johhnny |
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Description: Andrea Vedaldi and Brian Fulkerson
写的视觉特征提取（sift tree）经典源代码，现在很多人使用它。-Andrea Vedaldi and Brian Fulkerson written in visual feature extraction (sift tree) classical source code, and now many people use it.
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Size: 7932928 |
Author: jiashijie |
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Description: 使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual-SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors.
SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified.
SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided.
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Size: 5296128 |
Author: 周金强 |
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Description: sift c++实现(Andrea Vedaldi)-sift c++ implementation (Andrea Vedaldi)
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Size: 312320 |
Author: 张江 |
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Description: VLFeat是一款由Andrea Vedaldi和Brian Fulkerson先生创建的开源图像处理库，都属于机器视觉算法，vlfeat库有C和matlab两种实现，包括了SIFT,MSER, k-means, hierarchical k-means, agglomerative information bottleneck, and quick shift
这个库是C语言写的，效率比较高，支持Windows, Mac OS X, and Linux操作系统。可以在matlab、Shell、C、编译器中配置使用。-VLFeat is offered by the President Andrea Vedaldi and Brian Fulkerson created open source image processing library, are all machine vision algorithms, vlfeat C and matlab library has two implementations, including SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, and quick shift this library is written in C language, more efficient, support for Windows, Mac OS X, and Linux operating systems. In matlab, Shell, C, compiler configurations.
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Size: 2763776 |
Author: 古墓 |
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