CV codes代码分类整理合集

CV codes代码分类整理合集(

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] 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] 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] 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] 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] 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] 八、Kinect: Kinect toolbox[Project] OpenNI[Project] zouxy09 CSDN Blog[Resource] 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] 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[Prpject] 十二、图像处理: Distance Transforms of Sampled Functions[Project] The Computer Vision Homepage[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]




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