一、特征提取Feature Extraction：
-
SIFT [1] [Demo program][SIFT Library] [VLFeat]
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PCA-SIFT [2] [Project]
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Affine-SIFT [3] [Project]
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SURF [4] [OpenSURF] [Matlab Wrapper]
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Affine Covariant Features [5] [Oxford project]
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MSER [6] [Oxford project] [VLFeat]
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Geometric Blur [7] [Code]
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Local Self-Similarity Descriptor [8] [Oxford implementation]
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Global and Efficient Self-Similarity [9] [Code]
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Histogram of Oriented Graidents [10] [INRIA Object Localization Toolkit] [OLT toolkit for Windows]
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GIST [11] [Project]
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Shape Context [12] [Project]
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Color Descriptor [13] [Project]
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Pyramids of Histograms of Oriented Gradients [Code]
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Space-Time Interest Points (STIP) [14][Project] [Code]
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Boundary Preserving Dense Local Regions [15][Project]
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Weighted Histogram[Code]
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Histogram-based Interest Points Detectors[Paper][Code]
-
An OpenCV - C++ implementation of Local Self Similarity Descriptors [Project]
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Fast Sparse Representation with Prototypes[Project]
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Corner Detection [Project]
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AGAST Corner Detector: faster than FAST and even FAST-ER[Project]
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Real-time Facial Feature Detection using Conditional Regression Forests[Project]
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Global and Efficient Self-Similarity for Object Classification and Detection[code]
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WαSH: Weighted α-Shapes for Local Feature Detection[Project]
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HOG[Project]
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Online Selection of Discriminative Tracking Features[Project]
二、图像分割Image Segmentation：
-
Normalized Cut [1] [Matlab code]
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Gerg Mori’ Superpixel code [2] [Matlab code]
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Efficient Graph-based Image Segmentation [3] [C++ code] [Matlab wrapper]
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Mean-Shift Image Segmentation [4] [EDISON C++ code] [Matlab wrapper]
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OWT-UCM Hierarchical Segmentation [5] [Resources]
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Turbepixels [6] [Matlab code 32bit] [Matlab code 64bit] [Updated code]
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Quick-Shift [7] [VLFeat]
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SLIC Superpixels [8] [Project]
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Segmentation by Minimum Code Length [9] [Project]
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Biased Normalized Cut [10] [Project]
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Segmentation Tree [11-12] [Project]
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Entropy Rate Superpixel Segmentation [13] [Code]
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Fast Approximate Energy Minimization via Graph Cuts[Paper][Code]
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Efficient Planar Graph Cuts with Applications in Computer Vision[Paper][Code]
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Isoperimetric Graph Partitioning for Image Segmentation[Paper][Code]
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Random Walks for Image Segmentation[Paper][Code]
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Blossom V: A new implementation of a minimum cost perfect matching algorithm[Code]
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An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Computer Vision[Paper][Code]
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Geodesic Star Convexity for Interactive Image Segmentation[Project]
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Contour Detection and Image Segmentation Resources[Project][Code]
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Biased Normalized Cuts[Project]
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Max-flow/min-cut[Project]
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Chan-Vese Segmentation using Level Set[Project]
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A Toolbox of Level Set Methods[Project]
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Re-initialization Free Level Set Evolution via Reaction Diffusion[Project]
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Improved C-V active contour model[Paper][Code]
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A Variational Multiphase Level Set Approach to Simultaneous Segmentation and Bias Correction[Paper][Code]
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Level Set Method Research by Chunming Li[Project]
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ClassCut for Unsupervised Class Segmentation[code]
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SEEDS: Superpixels Extracted via Energy-Driven Sampling [Project][other]
三、目标检测Object Detection：
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A simple object detector with boosting [Project]
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INRIA Object Detection and Localization Toolkit [1] [Project]
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Discriminatively Trained Deformable Part Models [2] [Project]
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Cascade Object Detection with Deformable Part Models [3] [Project]
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Poselet [4] [Project]
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Implicit Shape Model [5] [Project]
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Viola and Jones’s Face Detection [6] [Project]
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Bayesian Modelling of Dyanmic Scenes for Object Detection[Paper][Code]
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Hand detection using multiple proposals[Project]
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Color Constancy, Intrinsic Images, and Shape Estimation[Paper][Code]
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Discriminatively trained deformable part models[Project]
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Gradient Response Maps for Real-Time Detection of Texture-Less Objects: LineMOD [Project]
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Image Processing On Line[Project]
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Robust Optical Flow Estimation[Project]
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Where’s Waldo: Matching People in Images of Crowds[Project]
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Scalable Multi-class Object Detection[Project]
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Class-Specific Hough Forests for Object Detection[Project]
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Deformed Lattice Detection In Real-World Images[Project]
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Discriminatively trained deformable part models[Project]
四、显著性检测Saliency Detection：
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Itti, Koch, and Niebur’ saliency detection [1] [Matlab code]
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Frequency-tuned salient region detection [2] [Project]
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Saliency detection using maximum symmetric surround [3] [Project]
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Attention via Information Maximization [4] [Matlab code]
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Context-aware saliency detection [5] [Matlab code]
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Graph-based visual saliency [6] [Matlab code]
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Saliency detection: A spectral residual approach. [7] [Matlab code]
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Segmenting salient objects from images and videos. [8] [Matlab code]
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Saliency Using Natural statistics. [9] [Matlab code]
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Discriminant Saliency for Visual Recognition from Cluttered Scenes. [10] [Code]
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Learning to Predict Where Humans Look [11] [Project]
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Global Contrast based Salient Region Detection [12] [Project]
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Bayesian Saliency via Low and Mid Level Cues[Project]
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Top-Down Visual Saliency via Joint CRF and Dictionary Learning[Paper][Code]
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Saliency Detection: A Spectral Residual Approach[Code]
五、图像分类、聚类Image Classification, Clustering
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Pyramid Match [1] [Project]
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Spatial Pyramid Matching [2] [Code]
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Locality-constrained Linear Coding [3] [Project] [Matlab code]
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Sparse Coding [4] [Project] [Matlab code]
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Texture Classification [5] [Project]
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Multiple Kernels for Image Classification [6] [Project]
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Feature Combination [7] [Project]
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SuperParsing [Code]
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Large Scale Correlation Clustering Optimization[Matlab code]
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Detecting and Sketching the Common[Project]
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Self-Tuning Spectral Clustering[Project][Code]
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User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior[Paper][Code]
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Filters for Texture Classification[Project]
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Multiple Kernel Learning for Image Classification[Project]
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SLIC Superpixels[Project]
六、抠图Image Matting
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A Closed Form Solution to Natural Image Matting [Code]
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Spectral Matting [Project]
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Learning-based Matting [Code]
七、目标跟踪Object Tracking：
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A Forest of Sensors - Tracking Adaptive Background Mixture Models [Project]
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Object Tracking via Partial Least Squares Analysis[Paper][Code]
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Robust Object Tracking with Online Multiple Instance Learning[Paper][Code]
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Online Visual Tracking with Histograms and Articulating Blocks[Project]
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Incremental Learning for Robust Visual Tracking[Project]
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Real-time Compressive Tracking[Project]
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Robust Object Tracking via Sparsity-based Collaborative Model[Project]
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Visual Tracking via Adaptive Structural Local Sparse Appearance Model[Project]
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Online Discriminative Object Tracking with Local Sparse Representation[Paper][Code]
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Superpixel Tracking[Project]
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Learning Hierarchical Image Representation with Sparsity, Saliency and Locality[Paper][Code]
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Online Multiple Support Instance Tracking [Paper][Code]
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Visual Tracking with Online Multiple Instance Learning[Project]
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Object detection and recognition[Project]
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Compressive Sensing Resources[Project]
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Robust Real-Time Visual Tracking using Pixel-Wise Posteriors[Project]
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Tracking-Learning-Detection[Project][OpenTLD/C++ Code]
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the HandVu：vision-based hand gesture interface[Project]
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Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities[Project]
八、Kinect：
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Kinect toolbox[Project]
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OpenNI[Project]
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zouxy09 CSDN Blog[Resource]
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FingerTracker 手指跟踪[code]
九、3D相关：
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3D Reconstruction of a Moving Object[Paper] [Code]
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Shape From Shading Using Linear Approximation[Code]
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Combining Shape from Shading and Stereo Depth Maps[Project][Code]
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Shape from Shading: A Survey[Paper][Code]
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A Spatio-Temporal Descriptor based on 3D Gradients (HOG3D)[Project][Code]
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Multi-camera Scene Reconstruction via Graph Cuts[Paper][Code]
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A Fast Marching Formulation of Perspective Shape from Shading under Frontal Illumination[Paper][Code]
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Reconstruction:3D Shape, Illumination, Shading, Reflectance, Texture[Project]
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Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers[Code]
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Learning 3-D Scene Structure from a Single Still Image[Project]
十、机器学习算法：
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Matlab class for computing Approximate Nearest Nieghbor (ANN) [Matlab class providing interface toANN library]
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Random Sampling[code]
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Probabilistic Latent Semantic Analysis (pLSA)[Code]
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FASTANN and FASTCLUSTER for approximate k-means (AKM)[Project]
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Fast Intersection / Additive Kernel SVMs[Project]
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SVM[Code]
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Ensemble learning[Project]
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Deep Learning[Net]
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Deep Learning Methods for Vision[Project]
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Neural Network for Recognition of Handwritten Digits[Project]
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Training a deep autoencoder or a classifier on MNIST digits[Project]
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THE MNIST DATABASE of handwritten digits[Project]
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Ersatz：deep neural networks in the cloud[Project]
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Deep Learning [Project]
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sparseLM : Sparse Levenberg-Marquardt nonlinear least squares in C/C++[Project]
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Weka 3: Data Mining Software in Java[Project]
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Invited talk “A Tutorial on Deep Learning” by Dr. Kai Yu (余凯)[Video]
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CNN - Convolutional neural network class[Matlab Tool]
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Yann LeCun’s Publications[Wedsite]
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LeNet-5, convolutional neural networks[Project]
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Training a deep autoencoder or a classifier on MNIST digits[Project]
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Deep Learning 大牛Geoffrey E. Hinton’s HomePage[Website]
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Multiple Instance Logistic Discriminant-based Metric Learning (MildML) and Logistic Discriminant-based Metric Learning (LDML)[Code]
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Sparse coding simulation software[Project]
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Visual Recognition and Machine Learning Summer School[Software]
十一、目标、行为识别Object, Action Recognition：
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Action Recognition by Dense Trajectories[Project][Code]
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Action Recognition Using a Distributed Representation of Pose and Appearance[Project]
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Recognition Using Regions[Paper][Code]
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2D Articulated Human Pose Estimation[Project]
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Fast Human Pose Estimation Using Appearance and Motion via Multi-Dimensional Boosting Regression[Paper][Code]
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Estimating Human Pose from Occluded Images[Paper][Code]
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Quasi-dense wide baseline matching[Project]
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ChaLearn Gesture Challenge: Principal motion: PCA-based reconstruction of motion histograms[Project]
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Real Time Head Pose Estimation with Random Regression Forests[Project]
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2D Action Recognition Serves 3D Human Pose Estimation[Project]
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A Hough Transform-Based Voting Framework for Action Recognition[Project]
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Motion Interchange Patterns for Action Recognition in Unconstrained Videos[Project]
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2D articulated human pose estimation software[Project]
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Learning and detecting shape models [code]
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Progressive Search Space Reduction for Human Pose Estimation[Project]
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Learning Non-Rigid 3D Shape from 2D Motion[Project]
十二、图像处理：
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Distance Transforms of Sampled Functions[Project]
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The Computer Vision Homepage[Project]
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Efficient appearance distances between windows[code]
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Image Exploration algorithm[code]
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Motion Magnification 运动放大 [Project]
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Bilateral Filtering for Gray and Color Images 双边滤波器 [Project]
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A Fast Approximation of the Bilateral Filter using a Signal Processing Approach [Project]
十三、一些实用工具：
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EGT: a Toolbox for Multiple View Geometry and Visual Servoing[Project] [Code]
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a development kit of matlab mex functions for OpenCV library[Project]
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Fast Artificial Neural Network Library[Project]
十四、人手及指尖检测与识别：
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finger-detection-and-gesture-recognition [Code]
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Hand and Finger Detection using JavaCV[Project]
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Hand and fingers detection[Code]
十五、场景解释：
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Nonparametric Scene Parsing via Label Transfer [Project]
十六、光流Optical flow：
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High accuracy optical flow using a theory for warping [Project]
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Dense Trajectories Video Description [Project]
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SIFT Flow: Dense Correspondence across Scenes and its Applications[Project]
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KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker [Project]
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Tracking Cars Using Optical Flow[Project]
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Secrets of optical flow estimation and their principles[Project]
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implmentation of the Black and Anandan dense optical flow method[Project]
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Optical Flow Computation[Project]
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Beyond Pixels: Exploring New Representations and Applications for Motion Analysis[Project]
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A Database and Evaluation Methodology for Optical Flow[Project]
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optical flow relative[Project]
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Robust Optical Flow Estimation [Project]
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optical flow[Project]
十七、图像检索Image Retrieval：
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Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval [Paper][code]
十八、马尔科夫随机场Markov Random Fields：
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Markov Random Fields for Super-Resolution [Project]
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A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors [Project]
十九、运动检测Motion detection：
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Moving Object Extraction, Using Models or Analysis of Regions [Project]
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Background Subtraction: Experiments and Improvements for ViBe [Project]
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A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications [Project]
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changedetection.net: A new change detection benchmark dataset[Project]
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ViBe - a powerful technique for background detection and subtraction in video sequences[Project]
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Background Subtraction Program[Project]
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Motion Detection Algorithms[Project]
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Stuttgart Artificial Background Subtraction Dataset[Project]
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Object Detection, Motion Estimation, and Tracking[Project]
ZZ: http://www.yuanyong.org/cv/cv-code-one.html