计算机视觉、机器学习相关领域论文和源代码大集合--持续更新……

2018-02-05 10:49:02来源:oschina作者:abcijkxyz人点击

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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--持续更新……


zouxy09@qq.com


http://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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