计算机视觉
图像处理

计算机视觉、机器学习领域论文和源代码总结

代码是C/C++或者Matlab代码。
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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