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[转载]计算机视觉、机器学习相关领域论文和源代码

(-04-18 22:45:40)转载▼原文地址：计算机视觉、机器学习相关领域论文和源代码作者：大爱一叶剑

1.http://www.cvchina.info//09/05/uiuc-cod/

2./zouxy09/article/details/8550952

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 classproviding 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]

·: 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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苍茫大地的博客

/handphone[订阅][手机订阅]首页博文目录图片关于我 个人资料苍茫大地微博

加好友发纸条

写留言加关注

博客等级： 博客积分：666博客访问：109,528关注人气：40获赠金笔：8赠出金笔：0荣誉徽章：相关博文

这些星座女财运亨通多子多福

问筠

从小就爱大叔的星座女

星座之家

颜值点评|中国传媒大学小仙女，清纯性感两相宜！

颜值APP

颜值点评|北舞校花陈郁扉，美颜清新气质清纯！

颜值APP

五一返程将遭遇降雨降温5省区局地有暴雨

中国赵小春

雾霾也快乐（大二班）

新星幼儿园

笑话（114）

粒言X

缺粮户●余粮户

王学武

娜迪亚5.1-5.7周运

迦勒底Chaldean

俱舍论白话禅解九·二十六·二明欲·色界中有量

观辉侃世界

北京街拍：时尚而独具个性的北京潮拍，潮流达人的聚集地三里屯

皇城根五爷

烧桂花树煮饭的农民

李永涛

更多>>推荐博文

第1458篇·诱惑

有种投资人叫——跟风狗！

崔永元的生意是一道转基因测验题

分析：白宫遭遇几重危机&nbs

你特么想找处女当老婆，谁特么要

校园霸凌有什么大惊小怪？谁小时

因成绩不理想学生和母亲坠楼身亡

究竟多大的房子才算是合理居所？

当选国民党主席，吴敦义是蓝还是

黄果树验收未通过：“摘牌”才能

国家大剧院夜景吸引众多.

邂逅一场“五月雪”

青海湖迎来鸬鹚繁殖季

乘轻便马车前往埃德福神庙

众人齐聚清水河放生生灵

来宇治吃最好的抹茶冰激凌

查看更多>> 正文字体大小：大中小

[转载]计算机视觉、机器学习相关领域论文和源代码

(-04-18 22:45:40)转载▼原文地址：计算机视觉、机器学习相关领域论文和源代码作者：大爱一叶剑

1.http://www.cvchina.info//09/05/uiuc-cod/

2./zouxy09/article/details/8550952

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 classproviding 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]

·: 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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