计算机视觉、机器学习相关领域论文和源代码

小咪咪 2022-08-18 15:17 336阅读 0赞

# **1. 简介** #

**   ** 看到一篇整理非常好的文章，转自 http://blog.csdn.net/zouxy09/article/details/8550952\#1536434-qzone-1-26137-cac534f6a16e831f54c45c717ec6acf9，希望能够在这个基础上能继续更新。

2016年8月17日 补充更新，文末详细信息；

# 2. 原文转载部分 #

## **特征提取Feature Extraction** ##

·         SIFT \[1\] \[[Demo program][]\]\[[SIFT Library][]\] \[[VLFeat][]\]

·         PCA-SIFT \[2\] \[[Project][]\]

·         Affine-SIFT \[3\] \[[Project][Project 1]\]

·         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 \[9\] \[[Code][Code 1]\]

·         Histogram of Oriented Graidents \[10\] \[[INRIA Object Localization Toolkit][]\] \[[OLT toolkit for Windows][]\]

·         GIST \[11\] \[[Project][Project 2]\]

·         Shape Context \[12\] \[[Project][Project 3]\]

·         Color Descriptor \[13\] \[[Project][Project 4]\]

·         Pyramids of Histograms of Oriented Gradients \[[Code][Code 2]\]

·         Space-Time Interest Points (STIP) \[14\]\[[Project][Project 5]\] \[[Code][Code 3]\]

·         Boundary Preserving Dense Local Regions \[15\]\[[Project][Project 6]\]

·         Weighted Histogram\[[Code][Code 4]\]

·         Histogram-based Interest Points Detectors\[[Paper][]\]\[[Code][Code 5]\]

·         An OpenCV - C++ implementation of Local Self Similarity Descriptors \[[Project][Project 7]\]

·         Fast Sparse Representation with Prototypes\[[Project][Project 8]\]

·         Corner Detection \[[Project][Project 9]\]

·         AGAST Corner Detector: faster than FAST and even FAST-ER\[[Project][Project 10]\]

·         Real-time Facial Feature Detection using Conditional Regression Forests\[[Project][Project 11]\]

·         Global and Efficient Self-Similarity for Object Classification and Detection\[[code][]\]

·         WαSH: Weighted α-Shapes for Local Feature Detection\[[Project][Project 12]\]

·         HOG\[[Project][Project 13]\]

·         Online Selection of Discriminative Tracking Features\[[Project][Project 14]\]

## **图像分割Image Segmentation** ##

·           Normalized Cut \[1\] \[[Matlab code][]\]

·           Gerg Mori’ Superpixel code \[2\] \[[Matlab code][Matlab code 1]\]

·           Efficient Graph-based Image Segmentation \[3\] \[[C++ code][C_ code]\] \[[Matlab wrapper][]\]

·           Mean-Shift Image Segmentation \[4\] \[[EDISON C++ code][EDISON C_ code]\] \[[Matlab wrapper][Matlab wrapper 1]\]

·           OWT-UCM Hierarchical Segmentation \[5\] \[[Resources][]\]

·           Turbepixels \[6\] \[[Matlab code 32bit][]\] \[[Matlab code 64bit][]\] \[[Updated code][]\]

·           Quick-Shift \[7\] \[[VLFeat][VLFeat 1]\]

·           SLIC Superpixels \[8\] \[[Project][Project 15]\]

·           Segmentation by Minimum Code Length \[9\] \[[Project][Project 16]\]

·           Biased Normalized Cut \[10\] \[[Project][Project 17]\]

·           Segmentation Tree \[11-12\] \[[Project][Project 18]\]

·           Entropy Rate Superpixel Segmentation \[13\] \[[Code][Code 6]\]

·           Fast Approximate Energy Minimization via Graph Cuts\[[Paper][Paper 1]\]\[[Code][Code 7]\]

·           Efﬁcient Planar Graph Cuts with Applications in Computer Vision\[[Paper][Paper 2]\]\[[Code][Code 8]\]

·           Isoperimetric Graph Partitioning for Image Segmentation\[[Paper][Paper 3]\]\[[Code][Code 9]\]

·           Random Walks for Image Segmentation\[[Paper][Paper 4]\]\[[Code][Code 10]\]

·           Blossom V: A new implementation of a minimum cost perfect matching algorithm\[[Code][Code 11]\]

·           An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Computer Vision\[[Paper][Paper 5]\]\[[Code][Code 12]\]

·           Geodesic Star Convexity for Interactive Image Segmentation\[[Project][Project 19]\]

·           Contour Detection and Image Segmentation Resources\[[Project][Resources]\]\[[Code][Code 13]\]

·           Biased Normalized Cuts\[[Project][Project 20]\]

·           Max-flow/min-cut\[[Project][Project 21]\]

·           Chan-Vese Segmentation using Level Set\[[Project][Project 22]\]

·           A Toolbox of Level Set Methods\[[Project][Project 23]\]

·           Re-initialization Free Level Set Evolution via Reaction Diffusion\[[Project][Project 24]\]

·           Improved C-V active contour model\[[Paper][Paper 6]\]\[[Code][Code 14]\]

·           A Variational Multiphase Level Set Approach to Simultaneous Segmentation and Bias Correction\[[Paper][Paper 7]\]\[[Code][Code 15]\]

·          Level Set Method Research by Chunming Li\[[Project][Project 25]\]

·          ClassCut for Unsupervised Class Segmentation\[[cod][]e\]

·         SEEDS: Superpixels Extracted via Energy-Driven Sampling [\[Project][Project 26]\]\[[other][]\]

## **目标检测Object Detection** ##

·           A simple object detector with boosting \[[Project][Project 27]\]

·           INRIA Object Detection and Localization Toolkit \[1\] \[[Project][Project 28]\]

·           Discriminatively Trained Deformable Part Models \[2\] \[[Project][Project 29]\]

·           Cascade Object Detection with Deformable Part Models \[3\] \[[Project][Project 30]\]

·           Poselet \[4\] \[[Project][Project 31]\]

·           Implicit Shape Model \[5\] \[[Project][Project 32]\]

·           Viola and Jones’s Face Detection \[6\] \[[Project][Project 33]\]

·           Bayesian Modelling of Dyanmic Scenes for Object Detection\[[Paper][Paper 8]\]\[[Code][Code 16]\]

·           Hand detection using multiple proposals\[[Project][Project 34]\]

·           Color Constancy, Intrinsic Images, and Shape Estimation\[[Paper][Paper 9]\]\[[Code][Code 17]\]

·           Discriminatively trained deformable part models\[[Project][Project 35]\]

·           Gradient Response Maps for Real-Time Detection of Texture-Less Objects: LineMOD \[[Project][Project 36]\]

·           Image Processing On Line\[[Project][Project 37]\]

·           Robust Optical Flow Estimation\[[Project][Project 38]\]

·           Where's Waldo: Matching People in Images of Crowds\[[Project][Project 39]\]

·           Scalable Multi-class Object Detection\[[Project][Project 40]\]

·           Class-Specific Hough Forests for Object Detection\[[Project][Project 41]\]

·         Deformed Lattice Detection In Real-World Images\[[Project][Project 42]\]

·         Discriminatively trained deformable part models\[[Project][Project 35]\]

## **显著性检测Saliency Detection** ##

·           Itti, Koch, and Niebur’ saliency detection \[1\] \[[Matlab code][Matlab code 2]\]

·           Frequency-tuned salient region detection \[2\] \[[Project][Project 43]\]

·           Saliency detection using maximum symmetric surround \[3\] \[[Project][Project 44]\]

·           Attention via Information Maximization \[4\] \[[Matlab code][Matlab code 3]\]

·           Context-aware saliency detection \[5\] \[[Matlab code][Matlab code 4]\]

·           Graph-based visual saliency \[6\] \[[Matlab code][Matlab code 5]\]

·           Saliency detection: A spectral residual approach. \[7\] \[[Matlab code][Matlab code 6]\]

·           Segmenting salient objects from images and videos. \[8\] \[[Matlab code][Matlab code 7]\]

·           Saliency Using Natural statistics. \[9\] \[[Matlab code][Matlab code 8]\]

·           Discriminant Saliency for Visual Recognition from Cluttered Scenes. \[10\] \[[Code][Code 18]\]

·           Learning to Predict Where Humans Look \[11\] \[[Project][Project 45]\]

·           Global Contrast based Salient Region Detection \[12\] \[[Project][Project 46]\]

·           Bayesian Saliency via Low and Mid Level Cues\[[Project][Project 47]\]

·           Top-Down Visual Saliency via Joint CRF and Dictionary Learning\[[Paper][Paper 10]\]\[[Code][Code 19]\]

·         Saliency Detection: A Spectral Residual Approach\[[Code][Code 20]\]

## **图像分类、聚类Image Classification, Clustering** ##

·           Pyramid Match \[1\] \[[Project][Project 48]\]

·           Spatial Pyramid Matching \[2\] \[[Code][Code 21]\]

·           Locality-constrained Linear Coding \[3\] \[[Project][Project 49]\] \[[Matlab code][Matlab code 9]\]

·           Sparse Coding \[4\] \[[Project][Project 50]\] \[[Matlab code][Matlab code 10]\]

·           Texture Classification \[5\] \[[Project][Project 51]\]

·           Multiple Kernels for Image Classification \[6\] \[[Project][Code]\]

·           Feature Combination \[7\] \[[Project][Project 52]\]

·           SuperParsing \[[Code][Code 22]\]

·           Large Scale Correlation Clustering Optimization\[[Matlab code][Matlab code 11]\]

·           Detecting and Sketching the Common\[[Project][Project 53]\]

·           Self-Tuning Spectral Clustering\[[Project][Project 54]\]\[[Code][Code 23]\]

·           User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior\[[Paper][Paper 11]\]\[[Code][Code 24]\]

·           Filters for Texture Classification\[[Project][Project 55]\]

·           Multiple Kernel Learning for Image Classification\[[Project][Code]\]

·          SLIC Superpixels\[[Project][Project 56]\]

## **抠图Image Matting** ##

·           A Closed Form Solution to Natural Image Matting \[[Code][Code 25]\]

·           Spectral Matting \[[Project][Project 57]\]

·           Learning-based Matting \[[Code][Code 26]\]

** **

## **目标跟踪Object Tracking** ##

·           A Forest of Sensors - Tracking Adaptive Background Mixture Models \[[Project][Project 58]\]

·           Object Tracking via Partial Least Squares Analysis\[[Paper][Paper 12]\]\[[Code][Code 27]\]

·           Robust Object Tracking with Online Multiple Instance Learning\[[Paper][Paper 13]\]\[[Code][Code 28]\]

·           Online Visual Tracking with Histograms and Articulating Blocks\[[Project][Project 59]\]

·           Incremental Learning for Robust Visual Tracking\[[Project][Project 60]\]

·           Real-time Compressive Tracking\[[Project][Project 61]\]

·           Robust Object Tracking via Sparsity-based Collaborative Model\[[Project][Project 62]\]

·           Visual Tracking via Adaptive Structural Local Sparse Appearance Model\[[Project][Project 63]\]

·           Online Discriminative Object Tracking with Local Sparse Representation\[[Paper][Paper 14]\]\[[Code][Code 29]\]

·           Superpixel Tracking\[[Project][Project 64]\]

·           Learning Hierarchical Image Representation with Sparsity, Saliency and Locality\[[Paper][Paper 15]\]\[[Code][Code 30]\]

·           Online Multiple Support Instance Tracking \[[Paper][Paper 16]\]\[[Code][Code 31]\]

·           Visual Tracking with Online Multiple Instance Learning\[[Project][Code 28]\]

·           Object detection and recognition\[[Project][Project 65]\]

·           Compressive Sensing Resources\[[Project][Project 66]\]

·           Robust Real-Time Visual Tracking using Pixel-Wise Posteriors\[[Project][Project 67]\]

·           Tracking-Learning-Detection\[[Project][Project 68]\]\[[OpenTLD/C++ Code][OpenTLD_C_ Code]\]

·           the HandVu：vision-based hand gesture interface\[[Project][Project 69]\]

·           Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities\[[Project][Project 70]\]

## **Kinect** ##

·           Kinect toolbox\[[Project][Project 71]\]

·           OpenNI\[[Project][Project 72]\]

·           zouxy09 CSDN Blog\[[Resource][]\]

·           FingerTracker 手指跟踪\[[code][code 1]\]

## **3D相关** ##

·           3D Reconstruction of a Moving Object\[[Paper][Paper 17]\] \[[Code][Code 32]\]

·           Shape From Shading Using Linear Approximation\[[Code][Code 33]\]

·           Combining Shape from Shading and Stereo Depth Maps\[[Project][Project 73]\]\[[Code][Code 34]\]

·           Shape from Shading: A Survey\[[Paper][Paper 18]\]\[[Code][Code 35]\]

·           A Spatio-Temporal Descriptor based on 3D Gradients (HOG3D)\[[Project][Project 74]\]\[[Code][Code 36]\]

·           Multi-camera Scene Reconstruction via Graph Cuts\[[Paper][Paper 19]\]\[[Code][Code 37]\]

·           A Fast Marching Formulation of Perspective Shape from Shading under Frontal Illumination\[[Paper][Paper 20]\]\[[Code][Code 38]\]

·           Reconstruction:3D Shape, Illumination, Shading, Reflectance, Texture\[[Project][Project 75]\]

·           Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers\[[Code][Code 39]\]

·           Learning 3-D Scene Structure from a Single Still Image\[[Project][Project 76]\]

## **机器学习算法** ##

·           Matlab class for computing Approximate Nearest Nieghbor (ANN) \[[Matlab class][] providing interface to[ANN library][]\]

·           Random Sampling\[[code][code 2]\]

·           Probabilistic Latent Semantic Analysis (pLSA)\[[Code][Code 40]\]

·           FASTANN and FASTCLUSTER for approximate k-means (AKM)\[[Project][Project 77]\]

·           Fast Intersection / Additive Kernel SVMs\[[Project][Project 78]\]

·           SVM\[[Code][Code 41]\]

·           Ensemble learning\[[Project][Project 65]\]

·           Deep Learning\[[Net][]\]

·           Deep Learning Methods for Vision\[[Project][Project 79]\]

·           Neural Network for Recognition of Handwritten Digits\[[Project][Project 80]\]

·           Training a deep autoencoder or a classifier on MNIST digits\[[Project][Project 81]\]

·          THE MNIST DATABASE of handwritten digits\[[Project][Project 82]\]

·          Ersatz：deep neural networks in the cloud\[[Project][Project 83]\]

·          Deep Learning \[[Project][Project 84]\]

·          sparseLM : Sparse Levenberg-Marquardt nonlinear least squares in C/C++\[[Project][Project 85]\]

·          Weka 3: Data Mining Software in Java\[[Project][Project 86]\]

·          Invited talk "A Tutorial on Deep Learning" by Dr. Kai Yu (余凯)\[[Video][]\]

·          CNN - Convolutional neural network class\[[Matlab Tool][]\]

·          Yann LeCun's Publications\[[Wedsite][]\]

·          LeNet-5, convolutional neural networks\[[Project][Project 87]\]

·          Training a deep autoencoder or a classifier on MNIST digits\[[Project][Project 81]\]

·          Deep Learning 大牛Geoffrey E. Hinton's HomePage\[[Website][]\]

·         Multiple Instance Logistic Discriminant-based Metric Learning (MildML) and Logistic Discriminant-based Metric Learning (LDML)\[[Code][Code 42]\]

·         Sparse coding simulation software\[[Project][Project 88]\]

·         Visual Recognition and Machine Learning Summer School\[[Software][]\]

** **

## **目标、行为识别Object, Action Recognition** ##

·           Action Recognition by Dense Trajectories\[[Project][Project 89]\]\[[Code][Code 43]\]

·           Action Recognition Using a Distributed Representation of Pose and Appearance\[[Project][Project 90]\]

·           Recognition Using Regions\[[Paper][Paper 21]\]\[[Code][Code 44]\]

·           2D Articulated Human Pose Estimation\[[Project][Project 91]\]

·           Fast Human Pose Estimation Using Appearance and Motion via Multi-Dimensional Boosting Regression\[[Paper][Paper 22]\]\[[Code][Code 45]\]

·           Estimating Human Pose from Occluded Images\[[Paper][Paper 23]\]\[[Code][Code 46]\]

·           Quasi-dense wide baseline matching\[[Project][Project 92]\]

·           ChaLearn Gesture Challenge: Principal motion: PCA-based reconstruction of motion histograms\[[Project][Project 93]\]

·           Real Time Head Pose Estimation with Random Regression Forests\[[Project][Project 94]\]

·           2D Action Recognition Serves 3D Human Pose Estimation\[[Project\]][Project 95]

·           A Hough Transform-Based Voting Framework for Action Recognition\[[Project\]][Project 96]

·           Motion Interchange Patterns for Action Recognition in Unconstrained Videos\[[Project\]][Project 97]

·         2D articulated human pose estimation software\[[Project][Project 98]\]

·         Learning and detecting shape models \[[code][code 3]\]

·         Progressive Search Space Reduction for Human Pose Estimation\[[Project][Project 99]\]

·         Learning Non-Rigid 3D Shape from 2D Motion\[[Project][Project 100]\]

## **图像处理** ##

·         Distance Transforms of Sampled Functions\[[Project][Project 101]\]

·         The Computer Vision Homepage\[[Project][Project 102]\]

·         Efficient appearance distances between windows\[[code][code 4]\]

·         Image Exploration algorithm\[[code][code 5]\]

·         Motion Magnification 运动放大 \[[Project][Project 103]\]

·         Bilateral Filtering for Gray and Color Images 双边滤波器 \[[Project][Project 104]\]

·         A Fast Approximation of the Bilateral Filter using a Signal Processing Approach \[[Project\]][Project 105]

**                  **

## **一些实用工具** ##

·           EGT: a Toolbox for Multiple View Geometry and Visual Servoing\[[Project][Project 106]\] \[[Code][Code 47]\]

·           a development kit of matlab mex functions for OpenCV library\[[Project][Project 107]\]

·           Fast Artificial Neural Network Library\[[Project][Project 108]\]

## **人手及指尖检测与识别** ##

·           finger-detection-and-gesture-recognition \[[Code][Code 48]\]

·           Hand and Finger Detection using JavaCV\[[Project][Project 109]\]

·           Hand and fingers detection\[[Code][Code 49]\]

## **场景解释** ##

·           Nonparametric Scene Parsing via Label Transfer \[[Project][Project 110]\]

## **光流Optical flow** ##

·         High accuracy optical flow using a theory for warping \[[Project][Project 111]\]

·         Dense Trajectories Video Description \[[Project][Project 89]\]

·         SIFT Flow: Dense Correspondence across Scenes and its Applications\[[Project][Project 112]\]

·         KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker \[[Project][Project 113]\]

·         Tracking Cars Using Optical Flow\[[Project][Project 114]\]

·         Secrets of optical flow estimation and their principles\[[Project][Project 115]\]

·         implmentation of the Black and Anandan dense optical flow method\[[Project][Project 115]\]

·         Optical Flow Computation\[[Project][Project 116]\]

·         Beyond Pixels: Exploring New Representations and Applications for Motion Analysis\[[Project][Project 117]\]

·         A Database and Evaluation Methodology for Optical Flow\[[Project][Project 118]\]

·         optical flow relative\[[Project][Project 119]\]

·         Robust Optical Flow Estimation \[[Project][Project 38]\]

·         optical flow\[[Project][Project 120]\]

## **图像检索Image Retrieval** ##

·           Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval [\[Paper][Paper 24]\]\[[code][code 6]\]

## **马尔科夫随机场Markov Random Fields** ##

·         Markov Random Fields for Super-Resolution [\[][Paper 24][Project][Project 121]\]

·         A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors \[[Project][Project 122]\]

## **运动检测Motion detection** ##

·         Moving Object Extraction, Using Models or Analysis of Regions [\[][Paper 24][Project][Project 123]\]

·         Background Subtraction: Experiments and Improvements for ViBe \[[Project][Project 124]\]

·         A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications \[[Project][Project 125]\]

·         changedetection.net: A new change detection benchmark dataset\[[Project][Project 126]\]

·         ViBe - a powerful technique for background detection and subtraction in video sequences\[[Project][Project 127]\]

·         Background Subtraction Program\[[Project][Project 128]\]

·         Motion Detection Algorithms\[[Project][Project 129]\]

·         Stuttgart Artificial Background Subtraction Dataset\[[Project][Project 130]\]

·         Object Detection, Motion Estimation, and Tracking\[[Project][Project 131]\]

# 3 持续更新部分 #

**-----------------------------------2016年9月补充-------------------------------------**

## 人脸识别 ##

人脸识别论文和博客汇总：[https://github.com/msandroid/Face-recognition/blob/master/README.md][https_github.com_msandroid_Face-recognition_blob_master_README.md]

## 初学者由浅入深学习卷积神经网络CNN ##

本次初学者教程包括三大部分，每一部分都很棒，值得一读。

第一部分：[     第二部分：][Link 1][     第三部分：][Link 1][https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html][https_adeshpande3.github.io_adeshpande3.github.io_The-9-Deep-Learning-Papers-You-Need-To-Know-About.html]

\--- 待定

**--------------------------------------------------------------------------------------**

[Demo program]: http://www.cs.ubc.ca/~lowe/keypoints/siftDemoV4.zip
[SIFT Library]: http://blogs.oregonstate.edu/hess/code/sift/
[VLFeat]: http://www.vlfeat.org/
[Project]: http://www.cs.cmu.edu/~yke/pcasift/
[Project 1]: http://www.ipol.im/pub/algo/my_affine_sift/
[OpenSURF]: http://www.chrisevansdev.com/computer-vision-opensurf.html
[Matlab Wrapper]: http://www.maths.lth.se/matematiklth/personal/petter/surfmex.php
[Oxford project]: http://www.robots.ox.ac.uk/~vgg/research/affine/
[Code]: http://www.robots.ox.ac.uk/~vgg/software/MKL/
[Oxford implementation]: http://www.robots.ox.ac.uk/~vgg/software/SelfSimilarity/
[Code 1]: http://www.vision.ee.ethz.ch/~calvin/gss/selfsim_release1.0.tgz
[INRIA Object Localization Toolkit]: http://www.navneetdalal.com/software
[OLT toolkit for Windows]: http://www.computing.edu.au/~12482661/hog.html
[Project 2]: http://people.csail.mit.edu/torralba/code/spatialenvelope/
[Project 3]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/sc_digits.html
[Project 4]: http://koen.me/research/colordescriptors/
[Code 2]: http://www.robots.ox.ac.uk/~vgg/research/caltech/phog/phog.zip
[Project 5]: http://www.nada.kth.se/cvap/abstracts/cvap284.html
[Code 3]: http://www.irisa.fr/vista/Equipe/People/Laptev/download/stip-1.1-winlinux.zip
[Project 6]: http://vision.cs.utexas.edu/projects/bplr/bplr.html
[Code 4]: http://www.wisdom.weizmann.ac.il/~bagon/matlab_code/whistc.tar.gz
[Paper]: http://www.cs.nthu.edu.tw/~htchen/hipd_cvpr09.pdf
[Code 5]: http://740-2.cs.nthu.edu.tw/~htchen/hipd/hist_corner.zip
[Project 7]: http://intuitionlogic.com/post/2011/04/11/A-OpenCV-C++-implementation-of-Local-Self-Similarity-Descriptors.aspx
[Project 8]: http://faculty.ucmerced.edu/mhyang/cvpr10_fsr.html
[Project 9]: http://kiwi.cs.dal.ca/~dparks/CornerDetection/index.htm
[Project 10]: http://www6.in.tum.de/Main/ResearchAgast
[Project 11]: http://files.is.tue.mpg.de/jgall/projects/facialfeatures/facialfeatures.html
[code]: http://groups.inf.ed.ac.uk/calvin/gss/selfsim_release1.0.tgz
[Project 12]: http://image.ntua.gr/iva/research/wash/
[Project 13]: http://soc.fudan.edu.cn/vip/projects/gradproj/wiki/HOG%E4%BB%A3%E7%A0%81
[Project 14]: http://www.cs.ucla.edu/~roozbehm/cs7495/report.html
[Matlab code]: http://www.cis.upenn.edu/~jshi/software/
[Matlab code 1]: http://www.cs.sfu.ca/~mori/research/superpixels/
[C_ code]: http://people.cs.uchicago.edu/~pff/segment/
[Matlab wrapper]: http://www.mathworks.com/matlabcentral/fileexchange/25866-efficient-graph-based-image-segmentation
[EDISON C_ code]: http://coewww.rutgers.edu/riul/research/code/EDISON/index.html
[Matlab wrapper 1]: http://www.wisdom.weizmann.ac.il/~bagon/matlab_code/edison_matlab_interface.tar.gz
[Resources]: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/resources.html
[Matlab code 32bit]: http://www.cs.toronto.edu/~babalex/turbopixels_code.tar.gz
[Matlab code 64bit]: http://www.cs.toronto.edu/~babalex/TurboPixels64.rar
[Updated code]: http://www.cs.toronto.edu/~babalex/superpixels_update.tgz
[VLFeat 1]: http://www.vlfeat.org/overview/quickshift.html
[Project 15]: http://ivrgwww.epfl.ch/supplementary_material/RK_SLICSuperpixels/index.html
[Project 16]: http://perception.csl.uiuc.edu/coding/image_segmentation/
[Project 17]: http://www.cs.berkeley.edu/~smaji/projects/biasedNcuts/
[Project 18]: http://vision.ai.uiuc.edu/segmentation
[Code 6]: http://www.umiacs.umd.edu/~mingyliu/src/ers_matlab_wrapper_v0.1.zip
[Paper 1]: http://www.csd.uwo.ca/faculty/olga/Papers/pami01_final.pdf
[Code 7]: http://vision.csd.uwo.ca/code/gco-v3.0.zip
[Paper 2]: http://www.csd.uwo.ca/~schmidtf/pdf/schmidt_et_al_cvpr09.pdf
[Code 8]: http://vision.csd.uwo.ca/code/PlanarCut-v1.0.zip
[Paper 3]: http://www.cns.bu.edu/~lgrady/grady2006isoperimetric.pdf
[Code 9]: http://www.cns.bu.edu/~lgrady/grady2006isoperimetric_code.zip
[Paper 4]: http://www.cns.bu.edu/~lgrady/grady2006random.pdf
[Code 10]: http://www.cns.bu.edu/~lgrady/random_walker_matlab_code.zip
[Code 11]: http://pub.ist.ac.at/~vnk/software/blossom5-v2.03.src.tar.gz%20%20http:/pub.ist.ac.at/~vnk/software/blossom5-v2.03.src.tar.gz
[Paper 5]: http://www.csd.uwo.ca/~yuri/Papers/pami04.pdf
[Code 12]: http://pub.ist.ac.at/~vnk/software/maxflow-v3.01.src.tar.gz
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