计算机视觉机器学习相关领域论文和源代码大集合

Posted 2022-03-30 somebot

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注：下面有project网站的大部分都有paper和相应的code。Code一般是C/C++或者Matlab代码。

最近一次更新：2013-3-17

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][以上是关于计算机视觉机器学习相关领域论文和源代码大集合的主要内容，如果未能解决你的问题，请参考以下文章

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