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]
参考文档：
1 https://blog.csdn.net/u010025211/article/details/47147299
来源：oschina
链接：https://my.oschina.net/u/4337933/blog/3966352