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计算机视觉

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计算机视觉论文源代码集锦

计算机视觉、机器学习相关领域论文和源代码大集合–持续更新

特征提取Feature Extraction

  1. SIFT [Demo program][SIFT Library] [VLFeat]
  2. PCA-SIFT [Project]
  3. Affine-SIFT [Project]
  4. SURF [OpenSURF] [Matlab Wrapper]
  5. Affine Covariant Features [Oxford project]
  6. MSER [Oxford project] [VLFeat]
  7. Geometric Blur [Code]
  8. Local Self-Similarity Descriptor [Oxford implementation]
  9. Global and Efficient Self-Similarity [Code]
  10. Histogram of Oriented Graidents [INRIA Object Localization Toolkit] [OLT toolkit for Windows]
  11. Shape Context [Project]
  12. Color Descriptor [Project]
  13. Pyramids of Histograms of Oriented Gradients [Code]
  14. Space-Time Interest Points (STIP) [Project] [Code]
  15. Boundary Preserving Dense Local Regions[Project]
  16. Weighted Histogram[Code]
  17. Histogram-based Interest Points Detectors[Paper][Code]
  18. An OpenCV – C++ implementation of Local Self Similarity Descriptors [Project]
  19. Fast Sparse Representation with Prototypes[Project]
  20. Corner Detection [Project]
  21. AGAST Corner Detector: faster than FAST and even FAST-ER[Project]
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图像分割Image Segmentation

  1. Normalized Cut [Matlab code]
  2. Gerg Mori’ Superpixel code [Matlab code]
  3. Efficient Graph-based Image Segmentation [C++ code] [Matlab wrapper]
  4. Mean-Shift Image Segmentation [EDISON C++ code] [Matlab wrapper]
  5. OWT-UCM Hierarchical Segmentation [Resources]
  6. Turbepixels [Matlab code 32bit] [Matlab code 64bit] [Updated code]
  7. Quick-Shift[VLFeat]
  8. SLIC Superpixels [Project]
  9. Segmentation by Minimum Code Length [Project]
  10. Biased Normalized Cut [Project]
  11. Segmentation Tree [Project]
  12. Entropy Rate Superpixel Segmentation [Code]
  13. Fast Approximate Energy Minimization via Graph Cuts[Paper][Code]
  14. Efficient Planar Graph Cuts with Applications in Computer Vision[Paper][Code]
  15. Isoperimetric Graph Partitioning for Image Segmentation[Paper][Code]
  16. Random Walks for Image Segmentation[Paper][Code]
  17. Blossom V: A new implementation of a minimum cost perfect matching algorithm[Code]
  18. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Computer Vision[Paper][Code]
  19. Geodesic Star Convexity for Interactive Image Segmentation[Project]
  20. Contour Detection and Image Segmentation Resources[Project][Code]
  21. Biased Normalized Cuts[Project]
  22. Max-flow/min-cut[Project]
  23. Chan-Vese Segmentation using Level Set[Project]
  24. A Toolbox of Level Set Methods[Project]
  25. Re-initialization Free Level Set Evolution via Reaction Diffusion[Project]
  26. Improved C-V active contour model[Paper][Code]
  27. A Variational Multiphase Level Set Approach to Simultaneous Segmentation and Bias Correction[Paper][Code]
  28. Level Set Method Research by Chunming Li[Project]

目标检测Object Detection

  1. A simple object detector with boosting [Project]
  2. INRIA Object Detection and Localization Toolkit [Project]
  3. Discriminatively Trained Deformable Part Models [Project]
  4. Cascade Object Detection with Deformable Part Models [Project]
  5. Poselet [Project]
  6. Implicit Shape Model [Project]
  7. Viola and Jones’s Face Detection [Project]
  8. Bayesian Modelling of Dyanmic Scenes for Object Detection[Paper][Code]
  9. Hand detection using multiple proposals[Project]
  10. Color Constancy, Intrinsic Images, and Shape Estimation[Paper][Code]
  11. Discriminatively trained deformable part models[Project]
  12. Gradient Response Maps for Real-Time Detection of Texture-Less Objects: LineMOD [Project]
  13. Image Processing On Line[Project]
  14. Robust Optical Flow Estimation[Project]
  15. Where’s Waldo: Matching People in Images of Crowds[Project]

显著性检测Saliency Detection

  1. Itti, Koch, and Niebur’ saliency detection [Matlab code]
  2. Frequency-tuned salient region detection [Project]
  3. Saliency detection using maximum symmetric surround [Project]
  4. Attention via Information Maximization [Matlab code]
  5. Context-aware saliency detection [Matlab code]
  6. Graph-based visual saliency [Matlab code]
  7. Saliency detection: A spectral residual approach. [Matlab code]
  8. Segmenting salient objects from images and videos. [Matlab code]
  9. Saliency Using Natural statistics. [Matlab code]
  10. Discriminant Saliency for Visual Recognition from Cluttered Scenes. [Code]
  11. Learning to Predict Where Humans Look [Project]
  12. Global Contrast based Salient Region Detection [Project]
  13. Bayesian Saliency via Low and Mid Level Cues[Project]
  14. Top-Down Visual Saliency via Joint CRF and Dictionary Learning [Paper] [Code]

图像分类、聚类Image Classification, Clustering

  1. Pyramid Match [Project]
  2. Spatial Pyramid Matching [Code]
  3. Locality-constrained Linear Coding [Project] [Matlab code]
  4. Sparse Coding [Project] [Matlab code]
  5. Texture Classification [Project]
  6. Multiple Kernels for Image Classification [Project]
  7. Feature Combination [Project]
  8. SuperParsing [Code]
  9. Large Scale Correlation Clustering Optimization[Matlab code]
  10. Detecting and Sketching the Common[Project]
  11. Self-Tuning Spectral Clustering[Project][Code]
  12. User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior[Paper][Code]
  13. Filters for Texture Classification[Project]
  14. Multiple Kernel Learning for Image Classification[Project]
  15. SLIC Superpixels[Project]

抠图Image Matting

  1. A Closed Form Solution to Natural Image Matting [Code]
  2. Spectral Matting [Project]
  3. Learning-based Matting [Code]

目标跟踪Object Tracking

  1. A Forest of Sensors – Tracking Adaptive Background Mixture Models [Project]
  2. Object Tracking via Partial Least Squares Analysis[Paper][Code]
  3. Robust Object Tracking with Online Multiple Instance Learning[Paper][Code]
  4. Online Visual Tracking with Histograms and Articulating Blocks[Project]
  5. Incremental Learning for Robust Visual Tracking[Project]
  6. Real-time Compressive Tracking[Project]
  7. Robust Object Tracking via Sparsity-based Collaborative Model[Project]
  8. Visual Tracking via Adaptive Structural Local Sparse Appearance Model[Project]
  9. Online Discriminative Object Tracking with Local Sparse Representation[Paper][Code]
  10. Superpixel Tracking[Project]
  11. Learning Hierarchical Image Representation with Sparsity, Saliency and Locality[Paper][Code]
  12. Online Multiple Support Instance Tracking [Paper][Code]
  13. Visual Tracking with Online Multiple Instance Learning[Project]
  14. Object detection and recognition[Project]
  15. Compressive Sensing Resources[Project]
  16. Robust Real-Time Visual Tracking using Pixel-Wise Posteriors[Project]
  17. Tracking-Learning-Detection[Project][OpenTLD/C++ Code]
  18. the HandVu：vision-based hand gesture interface[Project]

Kinect

  1. Kinect toolbox[Project]
  2. OpenNI[Project]
  3. zouxy09 CSDN Blog[Resource]

3D相关

  1. 3D Reconstruction of a Moving Object[Paper] [Code]
  2. Shape From Shading Using Linear Approximation[Code]
  3. Combining Shape from Shading and Stereo Depth Maps[Project][Code]
  4. Shape from Shading: A Survey[Paper][Code]
  5. A Spatio-Temporal Descriptor based on 3D Gradients (HOG3D)[Project][Code]
  6. Multi-camera Scene Reconstruction via Graph Cuts[Paper][Code]
  7. A Fast Marching Formulation of Perspective Shape from Shading under Frontal Illumination[Paper][Code]
  8. Reconstruction:3D Shape, Illumination, Shading, Reflectance, Texture[Project]
  9. Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers[Code]
  10. Learning 3-D Scene Structure from a Single Still Image[Project]

机器学习算法

  1. Matlab class for computing Approximate Nearest Nieghbor (ANN) [Matlab class providing interface toANN library]
  2. Random Sampling[code]
  3. Probabilistic Latent Semantic Analysis (pLSA)[Code]
  4. FASTANN and FASTCLUSTER for approximate k-means (AKM)[Project]
  5. Fast Intersection / Additive Kernel SVMs[Project]
  6. SVM[Code]
  7. Ensemble learning[Project]
  8. Deep Learning[Net]
  9. Deep Learning Methods for Vision[Project]
  10. Neural Network for Recognition of Handwritten Digits[Project]
  11. Training a deep autoencoder or a classifier on MNIST digits[Project]
  12. THE MNIST DATABASE of handwritten digits[Project]
  13. Ersatz：deep neural networks in the cloud[Project]
  14. Deep Learning [Project]
  15. sparseLM : Sparse Levenberg-Marquardt nonlinear least squares in C/C++[Project]
  16. Weka 3: Data Mining Software in Java[Project]
  17. Invited talk “A Tutorial on Deep Learning” by Dr. Kai Yu (余凯)[Video]
  18. CNN – Convolutional neural network class[Matlab Tool]
  19. Yann LeCun’s Publications[Wedsite]
  20. LeNet-5, convolutional neural networks[Project]
  21. Training a deep autoencoder or a classifier on MNIST digits[Project]
  22. Deep Learning 大牛Geoffrey E. Hinton’s HomePage[Website]

目标、行为识别Object, Action Recognition

  1. Action Recognition by Dense Trajectories[Project][Code]
  2. Action Recognition Using a Distributed Representation of Pose and Appearance[Project]
  3. Recognition Using Regions[Paper][Code]
  4. 2D Articulated Human Pose Estimation[Project]
  5. Fast Human Pose Estimation Using Appearance and Motion via Multi-Dimensional Boosting Regression[Paper][Code]
  6. Estimating Human Pose from Occluded Images[Paper][Code]
  7. Quasi-dense wide baseline matching[Project]
  8. ChaLearn Gesture Challenge: Principal motion: PCA-based reconstruction of motion histograms[Prpject]

图像处理

  1. Distance Transforms of Sampled Functions[Project]
  2. The Computer Vision Homepage[Project]

一些实用工具

  1. EGT: a Toolbox for Multiple View Geometry and Visual Servoing[Project] [Code]
  2. a development kit of matlab mex functions for OpenCV library[Project]
  3. Fast Artificial Neural Network Library[Project]
  4. www.cvchina.info/2011/09/05/uiuc-cod/
更新于 2014-05-06
 计算机视觉, AI
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