机器学习、图像处理论文与源代码大汇总

机器视觉、图像处理论文与源代码大汇总                       

 http://blog.csdn.net/oycf119

 

 

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]

           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]

          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]

 

 注解：以上有project网站的大部分都有paper和相应的code。Code一般是C/C++或者Matlab代码。