1 特征提取（Feature Extraction）
- SIFT [Demo program][SIFT Library][VLFeat]
- PCA-SIFT [Project]
- Affine-SIFT [Project]
- SURF [OpenSURF][Matlab Wrapper]
- Affine Covariant Features [Oxford project]
- MSER [Oxford project][VLFeat]
- Geometric Blur [Code]
- Local Self-Similarity Descriptor [Oxford implementation]
- Histogram of Oriented Graidents [INRIA Object Localization Toolkit ][OLT toolkit for Windows]
- GIST [Project]
- Shape Context [Project]
- Color Descriptor [Project]
- Pyramids of Histograms of Oriented Gradients [Code]
- Space-Time Interest Points (STIP) [Project][Code]
- Boundary Preserving Dense Local Regions [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]
2 图像分割（Image Segmentation）
- Normalized Cut [[Matlab code]
- Gerg Mori’ Superpixel [Matlab code]
- Efficient Graph-based Image Segmentation [C++ code][Matlab wrapper]
- Mean-Shift Image Segmentation [EDISON C++ code][Matlab wrapper]
- OWT-UCM Hierarchical Segmentation [Resources]
- Turbepixels [Matlab code 32bit] [Matlab code 64bit][Updated code]
- Quick-Shift [VLFeat]
- SLIC Superpixels [Project]
- Segmentation by Minimum Code Length [Project]
- Biased Normalized Cut [Project]
- Segmentation Tree [Project]
- Entropy Rate Superpixel Segmentation [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]
3 目标检测（Object Detection）
- A simple object detector with boosting [Project]
- INRIA Object Detection and Localization Toolkit [Project]
- Discriminatively Trained Deformable Part Models [Project]
- Cascade Object Detection with Deformable Part Models [Project]
- Poselet [Project]
- Implicit Shape Model [Project]
- Viola and Jones’s Face Detection [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]
4 显著性检测（Saliency Detection）
- Itti, Koch, and Niebur’ saliency detection [Matlab code]
- Frequency-tuned salient region detection [Project]
- Saliency detection using maximum symmetric surround [Project]
- Attention via Information Maximization [Matlab code]
- Context-aware saliency detection [Matlab code]
- Graph-based visual saliency [Matlab code]
- Saliency detection: A spectral residual approach [Matlab code]
- Segmenting salient objects from images and videos [Matlab code]
- Saliency Using Natural statistics [Matlab code]
- Discriminant Saliency for Visual Recognition from Cluttered Scenes [Code]
- Learning to Predict Where Humans Look [Project]
- Global Contrast based Salient Region Detection [Project]
- Bayesian Saliency via Low and Mid Level Cues [Project]
- Top-Down Visual Saliency via Joint CRF and Dictionary Learning [Paper][Code]
5 图像分类、聚类（Image Classification, Clustering）
- Pyramid Match [Project]
- Spatial Pyramid Matching [Code]
- Locality-constrained Linear Coding [Project][Matlab code]
- Sparse Coding [Project][Matlab code]
- Texture Classification [Project]
- Multiple Kernels for Image Classification [Project]
- Feature Combination [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]
6 抠图（Image Matting）
- A Closed Form Solution to Natural Image Matting [Code]
- Spectral Matting [Project]
- Learning-based Matting [Code]
7 目标跟踪（Object Tracking）
- A Forest of Sensors - Tracking Adaptive Background Mixture Models [Project]
- Object Tracking via Partial Least Squares Analysis [Paper][Code]
- Robust Object Tracking with Online Multiple Instance Learning [Paper][Code]
- Online Visual Tracking with Histograms and Articulating Blocks [Project]
- Incremental Learning for Robust Visual Tracking [Project]
- Real-time Compressive Tracking [Project]
- Robust Object Tracking via Sparsity-based Collaborative Model [Project]
- Visual Tracking via Adaptive Structural Local Sparse Appearance Model [Project]
- Online Discriminative Object Tracking with Local Sparse Representation [Paper][Code]
- Superpixel Tracking [Project]
- Learning Hierarchical Image Representation with Sparsity, Saliency and Locality [Paper][Code]
- Online Multiple Support Instance Tracking [Paper][Code]
- Visual Tracking with Online Multiple Instance Learning [Project]
- Object detection and recognition [Project]
- Compressive Sensing Resources [Project]
- Robust Real-Time Visual Tracking using Pixel-Wise Posteriors [Project]
- Tracking-Learning-Detection [Project][OpenTLD/C++ Code]
- the HandVu：vision-based hand gesture interface [Project]
8 Kinect
9 3D相关
- 3D Reconstruction of a Moving Object [Paper][Code]
- Shape From Shading Using Linear Approximation [Code]
- Combining Shape from Shading and Stereo Depth Maps [Project][Code]
- Shape from Shading: A Survey [Paper][Code]
- A Spatio-Temporal Descriptor based on 3D Gradients (HOG3D) [Project][Code]
- Multi-camera Scene Reconstruction via Graph Cuts [Paper][Code]
- A Fast Marching Formulation of Perspective Shape from Shading under Frontal Illumination [Paper][Code]
- Reconstruction:3D Shape, Illumination, Shading, Reflectance, Texture [Project]
- Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers [Code]
- Learning 3-D Scene Structure from a Single Still Image [Project]
10 机器学习算法
- Matlab class for computing Approximate Nearest Nieghbor (ANN)[ Matlab class providing interface to ANN library]
- Random Sampling [code]
- Probabilistic Latent Semantic Analysis (pLSA) [Code]
- FASTANN and FASTCLUSTER for approximate k-means (AKM) [Project]
- Fast Intersection / Additive Kernel SVMs [Project]
- SVM [Code]
- Ensemble learning [Project]
- Deep Learning [Net]
- Deep Learning Methods for Vision [Project]
- Neural Network for Recognition of Handwritten Digits [Project]
- Training a deep autoencoder or a classifier on MNIST digits [Project]
- THE MNIST DATABASE of handwritten digits [Project]
- Ersatz：deep neural networks in the cloud [Project]
- Deep Learning [Project]
- sparseLM : Sparse Levenberg-Marquardt nonlinear least squares in C/C++ [Project]
- Weka 3: Data Mining Software in Java [Project]
- 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]
- Training a deep autoencoder or a classifier on MNIST digits [Project]
- Deep Learning 大牛Geoffrey E. Hinton’s HomePage [Website]
11 目标、行为识别（Object, Action Recognition）
- Action Recognition by Dense Trajectories [Project][Code]
- Action Recognition Using a Distributed Representation of Pose and Appearance [Project]
- Recognition Using Regions [Paper][Code]
- 2D Articulated Human Pose Estimation [Project]
- Fast Human Pose Estimation Using Appearance and Motion via Multi-Dimensional Boosting Regression [Paper][Code]
- Estimating Human Pose from Occluded Images [Paper][Code]
- Quasi-dense wide baseline matching [Project]
- ChaLearn Gesture Challenge: Principal motion: PCA-based reconstruction of motion histograms [Project]
12 图像处理
13 一些实用工具
- EGT: a Toolbox for Multiple View Geometry and Visual Servoing [Project [Code]]
- a development kit of matlab mex functions for OpenCV library [Project]
- Fast Artificial Neural Network Library [Project]
14 其他
- CVPapers - Computer Vision Resource [web]