机器视觉开源代码集合（转载）

     本文属于转载内容，也在笔者另外一个博客（http://blog.csdn.net/qq_37608890/article/details/79352633）发布。

来源：http://blog.csdn.net/flyingpig851334799/article/details/47449847。

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] [