引自：http://cvchina.net/post/50.html

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]

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]

• Ef?cient 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]

• 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]

• 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]

• Spectral Matting [Project]

• Learning-based Matting [Code]

七、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]

• Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities[Project]

八、Kinect：

• Kinect toolbox[Project]

• OpenNI[Project]

• zouxy09 CSDN Blog[Resource]

• FingerTracker 手指跟踪[code]

九、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]

十、机器学习算法：

• Matlab class for computing Approximate Nearest Nieghbor (ANN) [Matlab class providing interface toANN 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]

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

• Sparse coding simulation software[Project]

• Visual Recognition and Machine Learning Summer School[Software]

十一、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]

• Real Time Head Pose Estimation with Random Regression Forests[Project]

• 2D Action Recognition Serves 3D Human Pose Estimation[Project]

• A Hough Transform-Based Voting Framework for Action Recognition[Project]

• Motion Interchange Patterns for Action Recognition in Unconstrained Videos[Project]

• 2D articulated human pose estimation software[Project]

• Learning and detecting shape models [code]

• Progressive Search Space Reduction for Human Pose Estimation[Project]

• Learning Non-Rigid 3D Shape from 2D Motion[Project]

十二、图像处理：

• Distance Transforms of Sampled Functions[Project]

• The Computer Vision Homepage[Project]

• Efficient appearance distances between windows[code]

• Image Exploration algorithm[code]

• Motion Magnification 运动放大 [Project]

• Bilateral Filtering for Gray and Color Images 双边滤波器 [Project]

• A Fast Approximation of the Bilateral Filter using a Signal Processing Approach [Project]

十三、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]

十四、人手及指尖检测与识别：

• finger-detection-and-gesture-recognition [Code]

• Hand and Finger Detection using JavaCV[Project]

• Hand and fingers detection[Code]

十五、场景解释：

• Nonparametric Scene Parsing via Label Transfer [Project]

十六、光流Optical flow：

• High accuracy optical flow using a theory for warping [Project]

• Dense Trajectories Video Description [Project]

• SIFT Flow: Dense Correspondence across Scenes and its Applications[Project]

• KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker [Project]

• Tracking Cars Using Optical Flow[Project]

• Secrets of optical flow estimation and their principles[Project]

• implmentation of the Black and Anandan dense optical flow method[Project]

• Optical Flow Computation[Project]

• Beyond Pixels: Exploring New Representations and Applications for Motion Analysis[Project]

• A Database and Evaluation Methodology for Optical Flow[Project]

• optical flow relative[Project]

• Robust Optical Flow Estimation [Project]

• optical flow[Project]

十七、图像检索Image Retrieval：

• Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval [Paper][code]

十八、马尔科夫随机场Markov Random Fields：

• Markov Random Fields for Super-Resolution [Project]

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

十九、运动检测Motion detection：

• Moving Object Extraction, Using Models or Analysis of Regions [Project]

• Background Subtraction: Experiments and Improvements for ViBe [Project]

• A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications [Project]

• changedetection.net: A new change detection benchmark dataset[Project]

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

• Background Subtraction Program[Project]

• Motion Detection Algorithms[Project]

• Stuttgart Artificial Background Subtraction Dataset[Project]

• Object Detection, Motion Estimation, and Tracking[Project]

ZZ: http://www.yuanyong.org/cv/cv-code-one.html

2013计算机视觉代码合集一