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]
· Boundary Preserving Dense Local Regions [15][Project]
· Weighted Histogram[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]
· Efficient Planar Graph Cuts with Applications in Computer Vision[Paper][Code]
· Isoperimetric Graph Partitioning 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]
· 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]
· 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]
· 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:
· Shape From Shading Using Linear Approximation[Code]
· Combining Shape from Shading and Stereo Depth Maps[Project][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 Using a Distributed Representation of Pose and Appearance[Project]
· 2D Articulated Human Pose Estimation[Project]
· Fast Human Pose Estimation Using Appearance and Motion via Multi-Dimensional Boosting Regression[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:
· 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]