机器视觉开源代码集合（转载）

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]

Wheres 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]