机器视觉开源代码链接集合_机器视觉源代码,机器视觉开源项目资源-CSDN文库

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15-6-18 机器视觉开源代码集合 - einyboy - 博客园
www.cnblogs.com/einyboy/p/3594432.html 1/17
einyboy
机器视觉开源代码集合
一、特征提取Feature Extraction：
SIFT [1] [Demo program][SIFT Library] [VLFeat]
PCA-SIFT [2] [Project]
Affine-SIFT [3] [Project]
SURF [4] [OpenSURF] [Matlab Wrapper]
Affine Covariant Features [5] [Oxford project]
MSER [6] [Oxford project] [VLFeat]
Geometric Blur [7] [Code]
Local Self-Similarity Descriptor [8] [Oxford
implementation]
Global and Efficient Self-Similarity [9] [Code]
Histogram of Oriented Graidents [10] [INRIA Object
Localization Toolkit] [OLT toolkit for Windows]
GIST [11] [Project]
Shape Context [12] [Project]
Color Descriptor [13] [Project]
Pyramids of Histograms of Oriented Gradients [Code]
Space-Time Interest Points (STIP) [14][Project]
[Code]
Boundary Preserving Dense Local Regions [15]
[Project]
Weighted Histogram[Code]
Histogram-based Interest Points Detectors[Paper]
[Code]
An OpenCV - C++ implementation of Local Self
Similarity Descriptors [Project]
Fast Sparse Representation with Prototypes[Project]
Corner Detection [Project]
AGAST Corner Detector: faster than FAST and even
FAST-ER[Project]
Real-time Facial Feature Detection using Conditional
Regression Forests[Project]
Global and Efficient Self-Similarity for Object
Classification and Detection[code]
WαSH: Weighted α-Shapes for Local Feature
Detection[Project]
HOG[Project]
Online Selection of Discriminative Tracking
Features[Project]
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15-6-18 机器视觉开源代码集合 - einyboy - 博客园
www.cnblogs.com/einyboy/p/3594432.html 2/17
 
二、图像分割Image Segmentation：
Normalized Cut [1] [Matlab code]
Gerg Mori’ Superpixel code [2] [Matlab code]
Efficient Graph-based Image Segmentation [3] [C++
code] [Matlab wrapper]
Mean-Shift Image Segmentation [4] [EDISON C++
code] [Matlab wrapper]
OWT-UCM Hierarchical Segmentation [5] [Resources]
Turbepixels [6] [Matlab code 32bit] [Matlab code
64bit] [Updated code]
Quick-Shift [7] [VLFeat]
SLIC Superpixels [8] [Project]
Segmentation by Minimum Code Length [9] [Project]
Biased Normalized Cut [10] [Project]
Segmentation Tree [11-12] [Project]
Entropy Rate Superpixel Segmentation [13] [Code]
Fast Approximate Energy Minimization via Graph
Cuts[Paper][Code]
Efﬁcient Planar Graph Cuts with Applications in
Computer Vision[Paper][Code]
Isoperimetric Graph Partitioning for Image
Segmentation[Paper][Code]
Random Walks for Image Segmentation[Paper]
[Code]
Blossom V: A new implementation of a minimum cost
perfect matching algorithm[Code]
An Experimental Comparison of Min-Cut/Max-Flow
Algorithms for Energy Minimization in Computer
Vision[Paper][Code]
Geodesic Star Convexity for Interactive Image
Segmentation[Project]
Contour Detection and Image Segmentation
Resources[Project][Code]
Biased Normalized Cuts[Project]
Max-flow/min-cut[Project]
Chan-Vese Segmentation using Level Set[Project]
A Toolbox of Level Set Methods[Project]
Re-initialization Free Level Set Evolution via Reaction
Diffusion[Project]
Improved C-V active contour model[Paper][Code]
A Variational Multiphase Level Set Approach to
Simultaneous Segmentation and Bias
Correction[Paper][Code]
Level Set Method Research by Chunming Li[Project]
ClassCut for Unsupervised Class Segmentation[code]
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15-6-18 机器视觉开源代码集合 - einyboy - 博客园
www.cnblogs.com/einyboy/p/3594432.html 3/17
SEEDS: Superpixels Extracted via Energy-Driven
Sampling [Project][other]
 
三、目标检测Object Detection：
A simple object detector with boosting [Project]
INRIA Object Detection and Localization Toolkit [1]
[Project]
Discriminatively Trained Deformable Part Models [2]
[Project]
Cascade Object Detection with Deformable Part
Models [3] [Project]
Poselet [4] [Project]
Implicit Shape Model [5] [Project]
Viola and Jones’s Face Detection [6] [Project]
Bayesian Modelling of Dyanmic Scenes for Object
Detection[Paper][Code]
Hand detection using multiple proposals[Project]
Color Constancy, Intrinsic Images, and Shape
Estimation[Paper][Code]
Discriminatively trained deformable part
models[Project]
Gradient Response Maps for Real-Time Detection of
Texture-Less Objects: LineMOD [Project]
Image Processing On Line[Project]
Robust Optical Flow Estimation[Project]
Where's Waldo: Matching People in Images of
Crowds[Project]
Scalable Multi-class Object Detection[Project]
Class-Specific Hough Forests for Object
Detection[Project]
Deformed Lattice Detection In Real-World
Images[Project]
Discriminatively trained deformable part
models[Project]
 
四、显著性检测Saliency Detection：
Itti, Koch, and Niebur’ saliency detection [1] [Matlab
code]
Frequency-tuned salient region detection [2]
[Project]
Saliency detection using maximum symmetric
surround [3] [Project]
Attention via Information Maximization [4] [Matlab
code]
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最新评论
1. Re:词语相似度计算
同意20楼的观点，A的子节点只有15个，
计算时所用的A的分支个数，并非A的所有
最底层节点个数
--白辰甲
2. Re:VS2008中opengl配置
请问这个opengl版本是多少？
--寻灿者
3. Re:arduino电子艺术--PWM直流电机
电调实验
你好，我看了你这篇文章，我在做毕业设
计，其中用Arduino 控制直流电机正反
转，控制太阳能板东西方向转。初次接触
Arduino，不太明白，现在要加入PID，所
以想要请教一下你，这篇文章里面后续改
进有......
--lamas
4. Re:Kriging插值法

15-6-18 机器视觉开源代码集合 - einyboy - 博客园
www.cnblogs.com/einyboy/p/3594432.html 4/17
Context-aware saliency detection [5] [Matlab code]
Graph-based visual saliency [6] [Matlab code]
Saliency detection: A spectral residual approach. [7]
[Matlab code]
Segmenting salient objects from images and videos.
[8] [Matlab code]
Saliency Using Natural statistics. [9] [Matlab code]
Discriminant Saliency for Visual Recognition from
Cluttered Scenes. [10] [Code]
Learning to Predict Where Humans Look [11]
[Project]
Global Contrast based Salient Region Detection [12]
[Project]
Bayesian Saliency via Low and Mid Level
Cues[Project]
Top-Down Visual Saliency via Joint CRF and
Dictionary Learning[Paper][Code]
Saliency Detection: A Spectral Residual
Approach[Code]
 
五、图像分类、聚类Image Classification, Clustering
Pyramid Match [1] [Project]
Spatial Pyramid Matching [2] [Code]
Locality-constrained Linear Coding [3] [Project]
[Matlab code]
Sparse Coding [4] [Project] [Matlab code]
Texture Classification [5] [Project]
Multiple Kernels for Image Classification [6] [Project]
Feature Combination [7] [Project]
SuperParsing [Code]
Large Scale Correlation Clustering
Optimization[Matlab code]
Detecting and Sketching the Common[Project]
Self-Tuning Spectral Clustering[Project][Code]
User Assisted Separation of Reflections from a Single
Image Using a Sparsity Prior[Paper][Code]
Filters for Texture Classification[Project]
Multiple Kernel Learning for Image
Classification[Project]
SLIC Superpixels[Project]
 
六、抠图Image Matting
A Closed Form Solution to Natural Image Matting
[Code]
@water_moonSemivariogram(distan
ce h) = 0.5 * average [ (value at 
location i– value at location j)^2]...
--einyboy
5. Re:Kriging插值法
Semivariogram(distanceh) = 0.5 * 
average{(valuei – valuej}2]楼主能把
这公式，重写一下吗？...
--water_moon
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