资源一:计算机视觉,机器学习方面的论文和算法代码

注:下面有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。

最近一次更新:2013-1-29

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]

 

From:http://blog.csdn.net/zouxy09

posted on 2013-07-21 19:08  翠竹林  阅读(2484)  评论(1编辑  收藏

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