一、特征提取Feature Extraction：
- SIFT [1] [Demo program][SIFT Library] [VLFeat]
- PCASIFT [2] [Project]
- AffineSIFT [3] [Project]
- SURF [4] [OpenSURF] [Matlab Wrapper]
- Affine Covariant Features [5] [Oxford project]
- MSER [6] [Oxford project] [VLFeat]
- Geetric Blur [7] [Code]
- Local SelfSimilarity Descriptor [8] [Oxford implementation]
- Global and Efficient SelfSimilarity [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]
- SpaceTime Interest Points (STIP) [14][Project] [Code]
- Boundary Preserving Dense Local Regions [15][Project]
- Weighted Histogram[Code]
- Histogrambased 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 FASTER[Project]
- Realtime Facial Feature Detection using Conditional Regression Forests[Project]
- Global and Efficient SelfSimilarity for Object Classification and Detection[code]
- WαSH: Weighted αShapes 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 Graphbased Image Segmentation [3] [C++ code] [Matlab wrapper]
- MeanShift Image Segmentation [4] [EDISON C++ code] [Matlab wrapper]
- OWTUCM Hierarchical Segmentation [5] [Resources]
- Turbepixels [6] [Matlab code 32bit] [Matlab code 64bit] [Updated code]
- QuickShift [7] [VLFeat]
- SLIC Superpixels [8] [Project]
- Segmentation by Minimum Code Length [9] [Project]
- Biased Normalized Cut [10] [Project]
- Segmentation Tree [1112] [Project]
- Entropy Rate Superpixel Segmentation [13] [Code]
- Fast Approximate Energy Minimization via Graph Cuts[Paper][Code]
- Efficient Planar Graph Cuts with Applications in Cputer Vision[Paper][Code]
- Isoperimetric Graph Partitioning for Image Segmentation[Paper][Code]
- Rand Walks for Image Segmentation[Paper][Code]
- Bloss V: A new implementation of a minimum cost perfect matching algorithm[Code]
- An Experimental Cparison of MinCut/MaxFlow Algorithms for Energy Minimization in Cputer Vision[Paper][Code]
- Geodesic Star Convexity for Interactive Image Segmentation[Project]
- Contour Detection and Image Segmentation Resources[Project][Code]
- Biased Normalized Cuts[Project]
- Maxflow/mincut[Project]
- ChanVese Segmentation using Level Set[Project]
- A Toolbox of Level Set Methods[Project]
- Reinitialization Free Level Set Evolution via Reaction Diffusion[Project]
- Improved CV 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 EnergyDriven 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 RealTime Detection of TextureLess Objects: LineMOD [Project]
- Image Processing On Line[Project]
- Robust Optical Flow Estimation[Project]
- Where's Waldo: Matching People in Images of Crowds[Project]
- Scalable Multiclass Object Detection[Project]
- ClassSpecific Hough Forests for Object Detection[Project]
- Deformed Lattice Detection In RealWorld 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]
- Frequencytuned salient region detection [2] [Project]
- Saliency detection using maximum symmetric surround [3] [Project]
- Attention via Information Maximization [4] [Matlab code]
- Contextaware saliency detection [5] [Matlab code]
- Graphbased visual saliency [6] [Matlab code]
- Saliency detection: A spectral residual approach. [7] [Matlab code]
- Segmenting salient objects fr images and videos. [8] [Matlab code]
- Saliency Using Natural statistics. [9] [Matlab code]
- Discriminant Saliency for Visual Recognition fr 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]
- TopDown 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]
- Localityconstrained Linear Coding [3] [Project] [Matlab code]
- Sparse Coding [4] [Project] [Matlab code]
- Texture Classification [5] [Project]
- Multiple Kernels for Image Classification [6] [Project]
- Feature Cbination [7] [Project]
- SuperParsing [Code]
- Large Scale Correlation Clustering Optimization[Matlab code]
- Detecting and Sketching the Cmon[Project]
- SelfTuning Spectral Clustering[Project][Code]
- User Assisted Separation of Reflections fr 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]
- Learningbased 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]
- Realtime Cpressive Tracking[Project]
- Robust Object Tracking via Sparsitybased 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]
- Cpressive Sensing Resources[Project]
- Robust RealTime Visual Tracking using PixelWise Posteriors[Project]
- TrackingLearningDetection[Project][OpenTLD/C++ Code]
- the HandVu：visionbased hand gesture interface[Project]
- Learning Probabilistic NonLinear Latent Variable Models for Tracking Cplex Activities[Project]
八、Kinect：
- Kinect toolbox[Project]
- OpenNI[Project]
- zouxy09 CSDN Blog[Resource]
- FingerTracker 手指跟踪[code]
九、3D相关：
- 3D Reconstruction of a Moving Object[Paper] [Code]
- Shape Fr Shading Using Linear Approximation[Code]
- Cbining Shape fr Shading and Stereo Depth Maps[Project][Code]
- Shape fr Shading: A Survey[Paper][Code]
- A SpatioTemporal Descriptor based on 3D Gradients (HOG3D)[Project][Code]
- Multicamera Scene Reconstruction via Graph Cuts[Paper][Code]
- A Fast Marching Formulation of Perspective Shape fr Shading under Frontal Illumination[Paper][Code]
- Reconstruction:3D Shape, Illumination, Shading, Reflectance, Texture[Project]
- Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers[Code]
- Learning 3D Scene Structure fr a Single Still Image[Project]
十、机器学习算法：
- Matlab class for cputing Approximate Nearest Nieghbor (ANN) [Matlab classproviding interface toANN library]
- Rand Sampling[code]
- Probabilistic Latent Semantic Analysis (pLSA)[Code]
- FASTANN and FASTCLUSTER for approximate kmeans (AKM)[Project]
- Fast Intersection / Additive Kernel SVMs[Project]
- SVM[Code]
- Ensemble learning[Project]
- Deep Learning[Net]
- Deep Learning Methods for Vision[Project]
- Neural Network for Recognition of Handwritten Digits[Project]
- Training a deep autoencoder or a classifier on MNIST digits[Project]
- THE MNIST DATABASE of handwritten digits[Project]
- Ersatz：deep neural networks in the cloud[Project]
- Deep Learning [Project]
- sparseLM : Sparse LevenbergMarquardt nonlinear least squares in C/C++[Project]
- Weka 3: Data Mining Software in Java[Project]
- Invited talk "A Tutorial on Deep Learning" by Dr. Kai Yu (余凯)[Video]
- CNN Convolutional neural network class[Matlab Tool]
- Yann LeCun's Publications[Wedsite]
- LeNet5, convolutional neural networks[Project]
- Training a deep autoencoder or a classifier on MNIST digits[Project]
- Deep Learning 大牛Geoffrey E. Hinton's HePage[Website]
- Multiple Instance Logistic Discriminantbased Metric Learning (MildML) and Logistic Discriminantbased Metric Learning (LDML)[Code]
- Sparse coding simulation software[Project]
- Visual Recognition and Machine Learning Summer School[Software]
十一、目标、行为识别Object, Action Recognition：
- Action Recognition by Dense Trajectories[Project][Code]
- Action Recognition Using a Distributed Representation of Pose and Appearance[Project]
- Recognition Using Regions[Paper][Code]
- 2D Articulated Human Pose Estimation[Project]
- Fast Human Pose Estimation Using Appearance and Motion via MultiDimensional Boosting Regression[Paper][Code]
- Estimating Human Pose fr Occluded Images[Paper][Code]
- Quasidense wide baseline matching[Project]
- ChaLearn Gesture Challenge:Principal motion: PCAbased reconstruction of motion histograms[Project]
- Real Time Head Pose Estimation with Rand Regression Forests[Project]
- 2D Action Recognition Serves 3D Human Pose Estimation[Project]
- A Hough TransformBased Voting Framework for Action Recognition[Project]
- Motion Interchange Patterns for Action Recognition in Unconstrained Videos[Project]
- 2D articulated human pose estimation software[Project]
- Learning and detecting shape models [code]
- Progressive Search Space Reduction for Human Pose Estimation[Project]
- Learning NonRigid 3D Shape fr 2D Motion[Project]
十二、图像处理：
- Distance Transforms of Sampled Functions[Project]
- The Cputer Vision Hepage[Project]
- Efficient appearance distances between windows[code]
- Image Exploration algorithm[code]
- Motion Magnification 运动放大 [Project]
- Bilateral Filtering for Gray and Color Images 双边滤波器 [Project]
- A Fast Approximation of the Bilateral Filter using a Signal Processing Approach [Project]
十三、一些实用工具：
- EGT: a Toolbox for Multiple View Geetry and Visual Servoing[Project] [Code]
- a development kit of matlab mex functions for OpenCV library[Project]
- Fast Artificial Neural Network Library[Project]
十四、人手及指尖检测与识别：
- fingerdetectionandgesturerecognition[Code]
- Hand and Finger Detection using JavaCV[Project]
- Hand and fingers detection[Code]
十五、场景解释：
- Nonparametric Scene Parsing via Label Transfer[Project]
十六、光流Optical flow：
- High accuracy optical flow using a theory for warping[Project]
- Dense Trajectories Video Description[Project]
- SIFT Flow: Dense Correspondence across Scenes and its Applications[Project]
- KLT: An Implementation of the KanadeLucasTasi Feature Tracker [Project]
- Tracking Cars Using Optical Flow[Project]
- Secrets of optical flow estimation and their principles[Project]
- implmentation of the Black and Anandan dense optical flow method[Project]
- Optical Flow Cputation[Project]
- Beyond Pixels: Exploring New Representations and Applications for Motion Analysis[Project]
- A Database and Evaluation Methodology for Optical Flow[Project]
- optical flow relative[Project]
- Robust Optical Flow Estimation [Project]
- optical flow[Project]
十七、图像检索Image Retrieval：
- SemiSupervised Distance Metric Learning for Collaborative Image Retrieval[Paper][code]
十八、马尔科夫随机场Markov Rand Fields：
- Markov Rand Fields for SuperResolution[Project]
- A Cparative Study of Energy Minimization Methods for Markov Rand Fields with SmoothnessBased Priors [Project]
十九、运动检测Motion detection：
- Moving Object Extraction, Using Models or Analysis of Regions[Project]
- Background Subtraction: Experiments and Improvements for ViBe [Project]
- A SelfOrganizing Approach to Background Subtraction for Visual Surveillance Applications [Project]
- changedetection: A new change detection benchmark dataset[Project]
- ViBe a powerful technique for background detection and subtraction in video sequences[Project]
- Background Subtraction Program[Project]
- Motion Detection Algorithms[Project]
- Stuttgart Artificial Background Subtraction Dataset[Project]
- Object Detection, Motion Estimation, and Tracking[Project]
Feature Detection and Description
General Libraries:
- VLFeat– Implementation of various feature descriptors (including SIFT, HOG, and LBP) and covariant feature detectors (including DoG, Hessian, Harris Laplace, Hessian Laplace, Multiscale Hessian, Multiscale Harris). Easytouse Matlab interface. SeeModern features: Software– Slides providing a demonstration of VLFeat and also links to other software. Check alsoVLFeat handson session training
- OpenCV– Various implementations of modern feature detectors and descriptors (SIFT, SURF, FAST, BRIEF, ORB, FREAK, etc.)
Fast Keypoint Detectors for Realtime Applications:
- FAST– Highspeed corner detector implementation for a wide variety of platforms
- AGAST– Even faster than the FAST corner detector. A multiscale version of this method is used for the BRISK descriptor (ECCV 2010).
Binary Descriptors for RealTime Applications:
- BRIEF– C++ code for a fast and accurate interest point descriptor (not invariant to rotations and scale) (ECCV 2010)
- ORB– OpenCV implementation of the OrientedBrief (ORB) descriptor (invariant to rotations, but not scale)
- BRISK– Efficient Binary descriptor invariant to rotations and scale. It includes a Matlab mex interface. (ICCV 2011)
- FREAK– Faster than BRISK (invariant to rotations and scale) (CVPR 2012)
SIFT and SURF Implementations:
- SIFT:VLFeat,OpenCV,Original codeby David Lowe,GPU implementation,OpenSIFT
- SURF:Herbert Bay’s code,OpenCV,GPUSURF
Other Local Feature Detectors and Descriptors:
- VGG Affine Covariant features– Oxford code for various affine covariant feature detectors and descriptors.
- LIOP descriptor– Source code for the Local Intensity order Pattern (LIOP) descriptor (ICCV 2011).
- Local Symmetry Features– Source code for matching of local symmetry features under large variations in lighting, age, and rendering style (CVPR 2012).
Global Image Descriptors:
- GIST– Matlab code for the GIST descriptor
- CENTRIST– Global visual descriptor for scene categorization and object detection (PAMI 2011)
Feature Coding and Pooling
- VGG Feature Encoding Toolkit– Source code for various stateoftheart feature encoding methods – including Standard hard encoding, Kernel codebook encoding, Localityconstrained linear encoding, and Fisher kernel encoding.
- Spatial Pyramid Matching– Source code for feature pooling based on spatial pyramid matching (widely used for image classification)
Convolutional Nets and Deep Learning
- EBLearn– C++ Library for EnergyBased Learning. It includes several demos and stepbystep instructions to train classifiers based on convolutional neural networks.
- Torch7– Provides a matlablike environment for stateoftheart machine learning algorithms, including a fast implementation of convolutional neural networks.
- Deep Learning Various links for deep learning software.
PartBased Models
- Deformable Partbased Detector– Library provided by the authors of the original paper (stateoftheart in PASCAL VOC detection task)
- Efficient Deformable PartBased Detector– BranchandBound implementation for a deformable partbased detector.
- Accelerated Deformable Part Model– Efficient implementation of a method that achieves the exact same performance of deformable partbased detectors but with significant acceleration (ECCV 2012).
- CoarsetoFine Deformable Part Model– Fast approach for deformable object detection (CVPR 2011).
- Poselets– C++ and Matlab versions for object detection based on poselets.
- Partbased Face Detector and Pose Estimation– Implementation of a unified approach for face detection, pose estimation, and landmark localization (CVPR 2012).
Attributes and Semantic Features
- Relative Attributes– Modified implementation of RankSVM to train Relative Attributes (ICCV 2011).
- Object Bank– Implementation of object bank semantic features (NIPS 2010). See alsoActionBank
- Classemes, Picodes, and Metaclass features– Software for extracting highlevel image descriptors (ECCV 2010, NIPS 2011, CVPR 2012).
LargeScale Learning
- Additive Kernels– Source code for fast additive kernel SVM classifiers (PAMI 2013).
- LIBLINEAR– Library for largescale linear SVM classification.
- VLFeat– Implementation for Pegasos SVM and Hogeneous Kernel map.
Fast Indexing and Image Retrieval
- FLANN– Library for performing fast approximate nearest neighbor.
- Kernelized LSH– Source code for Kernelized LocalitySensitive Hashing (ICCV 2009).
- ITQ Binary codes– Code for generation of small binary codes using Iterative Quantization and other baselines such as LocalitySensitiveHashing (CVPR 2011).
- INRIA Image Retrieval– Efficient code for stateoftheart largescale image retrieval (CVPR 2011).
Object Detection
- SeePartbased ModelsandConvolutional Netsabove.
- Pedestrian Detection at 100fps– Very fast and accurate pedestrian detector (CVPR 2012).
- Caltech Pedestrian Detection Benchmark– Excellent resource for pedestrian detection, with various links for stateoftheart implementations.
- OpenCV– Enhanced implementation of Viola&Jones realtime object detector, with trained models for face detection.
- Efficient Subwindow Search– Source code for branchandbound optimization for efficient object localization (CVPR 2008).
3D Recognition
- PointCloud Library– Library for 3D image and point cloud processing.
Action Recognition
- ActionBank– Source code for action recognition based on the ActionBank representation (CVPR 2012).
- STIP Features– software for cputing spacetime interest point descriptors
- Independent Subspace Analysis– Look for Stacked ISA for Videos (CVPR 2011)
- Velocity Histories of Tracked Keypoints C++ code for activity recognition using the velocity histories of tracked keypoints (ICCV 2009)
Datasets
Attributes
- Animals with Attributes– 30,475 images of 50 animals classes with 6 preextracted feature representations for each image.
- aYahoo and aPascal– Attribute annotations for images collected fr Yahoo and Pascal VOC 2008.
- FaceTracer– 15,000 faces annotated with 10 attributes and fiducial points.
- PubFig– 58,797 face images of 200 people with 73 attribute classifier outputs.
- LFW– 13,233 face images of 5,749 people with 73 attribute classifier outputs.
- Human Attributes– 8,000 people with annotated attributes. Check also thislinkfor another dataset of human attributes.
- SUN Attribute Database– Largescale scene attribute database with a taxony of 102 attributes.
- ImageNet Attributes– Variety of attribute labels for the ImageNet dataset.
- Relative attributes– Data for OSR and a subset of PubFig datasets. Check also thislinkfor the WhittleSearch data.
- Attribute Discovery Dataset– Images of shopping categories associated with textual descriptions.
Finegrained Visual Categorization
- CaltechUCSD Birds Dataset– Hundreds of bird categories with annotated parts and attributes.
- Stanford Dogs Dataset– 20,000 images of 120 breeds of dogs fr around the world.
- OxfordIIIT Pet Dataset– 37 category pet dataset with roughly 200 images for each class. Pixel level trimap segmentation is included.
- Leeds Butterfly Dataset– 832 images of 10 species of butterflies.
- Oxford Flower Dataset– Hundreds of flower categories.
Face Detection
- FDDB– UMass face detection dataset and benchmark (5,000+ faces)
- CMU/MIT– Classical face detection dataset.
Face Recognition
- Face Recognition Hepage– Large collection of face recognition datasets.
- LFW– UMass unconstrained face recognition dataset (13,000+ face images).
- NIST Face Hepage– includes face recognition grand challenge (FRGC), vendor tests (FRVT) and others.
- CMU MultiPIE– contains more than 750,000 images of 337 people, with 15 different views and 19 lighting conditions.
- FERET– Classical face recognition dataset.
- Deng Cai’s face dataset in Matlab Format– Easy to use if you want play with simple face datasets including Yale, ORL, PIE, and Extended Yale B.
- SCFace– Lowresolution face dataset captured fr surveillance cameras.
Handwritten Digits
- MNIST– large dataset containing a training set of 60,000 examples, and a test set of 10,000 examples.
Pedestrian Detection
- Caltech Pedestrian Detection Benchmark– 10 hours of video taken fr a vehicle,350K bounding boxes for about 2.3K unique pedestrians.
- INRIA Person Dataset– Currently one of the most popular pedestrian detection datasets.
- ETH Pedestrian Dataset– Urban dataset captured fr a stereo rig mounted on a stroller.
- TUDBrussels Pedestrian Dataset– Dataset with image pairs recorded in an crowded urban setting with an onboard camera.
- PASCAL Human Detection– One of 20 categories in PASCAL VOC detection challenges.
- USC Pedestrian Dataset– Small dataset captured fr surveillance cameras.
Generic Object Recognition
- ImageNet– Currently the largest visual recognition dataset in terms of number of categories and images.
- Tiny Images– 80 million 32x32 low resolution images.
- Pascal VOC– One of the most influential visual recognition datasets.
- Caltech 101/Caltech 256– Popular image datasets containing 101 and 256 object categories, respectively.
- MIT LabelMe– Online annotation tool for building cputer vision databases.
Scene Recognition
- MIT SUN Dataset– MIT scene understanding dataset.
- UIUC Fifteen Scene Categories– Dataset of 15 natural scene categories.
Feature Detection and Description
- VGG Affine Dataset– Widely used dataset for measuring performance of feature detection and description. CheckVLBenchmarksfor an evaluation framework.
Action Recognition
- Benchmarking Activity Recognition– CVPR 2012 tutorial covering various datasets for action recognition.
RGBD Recognition
- RGBD Object Dataset– Dataset containing 300 cmon household objects
Reference:
[1]:rogerioferis/VisualRecognitionAndSearch/Resources
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