copy from:http://blog.csdn.net/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 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]

paper 141:some paper with ComputerCV、MachineLearning[转]的更多相关文章

  1. Tips for writing a paper

    Tips for writing a paper 1. Tips for Paper Writing 2.• Before you write a paper • When you are writi ...

  2. paper 56 :机器学习中的算法:决策树模型组合之随机森林(Random Forest)

    周五的组会如约而至,讨论了一个比较感兴趣的话题,就是使用SVM和随机森林来训练图像,这样的目的就是 在图像特征之间建立内在的联系,这个model的训练,着实需要好好的研究一下,下面是我们需要准备的入门 ...

  3. paper 13:计算机视觉研究群体及专家主页汇总

    做机器视觉和图像处理方面的研究工作,最重要的两个问题:其一是要把握住国际上最前沿的内容:其二是所作工作要具备很高的实用背景.解决第一个问题 的办法就是找出这个方向公认最高成就的几个超级专家(看看他们都 ...

  4. HDOJ(HDU) 2164 Rock, Paper, or Scissors?

    Problem Description Rock, Paper, Scissors is a two player game, where each player simultaneously cho ...

  5. 怎样看paper 最有效率

    thinking more after reading. Don't just read the papers.in addition, at begining, you'd better focus ...

  6. Writing your first academic paper

    Writing your first academic paper If you are working in academics (and you are if you are working wi ...

  7. HDU 2164 Rock, Paper, or Scissors?

    http://acm.hdu.edu.cn/showproblem.php?pid=2164 Problem Description Rock, Paper, Scissors is a two pl ...

  8. CSU1656: Paper of FlyBrother(后缀数组)

    Description FlyBrother is a superman, therefore he is always busy saving the world.  To graduate fro ...

  9. Paper Reading

    Paper Reading_SysML Paper Reading_Computer Architecture Paper Reading_Database Paper Reading_Distrib ...

随机推荐

  1. MyBank后感

    MyBank系统主要的构成部分有:银行账户的初始化,开户,存款,取款,转账,查询余额,修改密码这些操作. =============================================== ...

  2. VLOOUP

    VLOOKUP函数是Excel中的一个纵向查找函数 该函数的语法规则如下:VLOOKUP(lookup_value,table_array,col_index_num,range_lookup) 参数 ...

  3. 关于设置shadowPath的重要性

    这是超级容易添加阴影到iOS中的任何视图.所有您需要做的是 添加QuartzCore框架到项目中(如果不存在的话) 导入QuartzCore到您的执行文件 添加一行如[myView.layer set ...

  4. Maven之自定义pom类型的基础项目

    摘要:在当前的软件开发场景中,大都是通过maven管理项目,而如果使用maven的话,其实也会有很多问题,比如项目中依赖的版本管理就是一个很头疼的事,如果一个项目中有很多人同时开发那么这就很可能造成大 ...

  5. SimpleDateFormat 格式化时间少了12个小时

    SimpleDateFormat 格式化时间少了12个小时 标签(空格分隔): java SimpleDateFormat H:一天中的小时数:0-23 h: am/pm 小时数: 1-12 publ ...

  6. (转)SQL注入原理

    原文地址:http://www.cnblogs.com/rush/archive/2011/12/31/2309203.html SQL Injection:就是通过把SQL命令插入到Web表单递交或 ...

  7. 利用单臂路由实现VLAN间路由(有1个疑问)

    配置PC机: PC1:IP 192.168.1.1 :掩码:255.255.255.0:网关:192.168.1.254  VLAN 10 PC2:IP 192.168.2.1 :掩码:255.255 ...

  8. java并发编程之美-阅读记录10

    同步器 10.1CountDownLatch 在开发过程中经常会遇到在主线程中开启多个子线程去并行执行任务,并且主线程需要等待子线程执行完毕后在进行汇总.在CountDownLatch出现之前使用线程 ...

  9. 64.二叉搜索树的第K个节点

    题目描述:   给定一棵二叉搜索树,请找出其中的第k小的结点.例如, (5,3,7,2,4,6,8) 中,按结点数值大小顺序第三小结点的值为4. 思路分析:   根据二叉搜索树的特殊性,我们中序遍历它 ...

  10. OKVIS框架之前端

    1. 数据流入 在okvis_app_sychronous.cpp内,把IMU和图像数据加入到各自的队列里.由ThreadedKFVio负责队列的各种操作.作者对队列加了特殊功能,保证队列是线程安全的 ...