原文地址：[ZZ]计算机视觉、机器学习相关领域论文和源代码大集合作者：计算机视觉与模式

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