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计算机视觉、机器学习相关领域论文和源代码大集合

发布时间:2016-12-3 3:52:24 编辑:www.fx114.net 分享查询网我要评论
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原文转自:http://blog.csdn.net/zouxy09/article/details/8550952原作者是zouxy09,不过作者的代码部分也应该基于UIUC某同学的总结。这次转载是在寻找unsupervised image segmentation的方法及源代码的时候搜寻到了这里,找到了Efficient Graph-based Image Segmentation 的matlab版本(自己的电脑没装linux)。向原作者的努力致敬。同时,也要感谢倡导academic free的诸多作者和组织所做的一切。昨天读到了pluskid的一篇博文,才了解到网上传播许多免费pdf的论文背后的一些故事。 ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------计算机视觉、机器学习相关领域论文和源代码大集合[email protected]://blog.csdn.net/zouxy09 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:2013-3-17一、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]

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