图像处理代码合集:特征提取

       这几天在研究血管增强与分割，发现一个比较全面的图像处理方面的项目集合，里面涵盖了特征提取、图像分割、图像分类、图像匹配、图像降噪，光流法等等方面的项目和代码集合，项目是2012年之前的，但是涵盖比较基础的原理知识，用到的时候可以参考一下：

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] [Code]

Boundary Preserving Dense Local Regions [15][Project]

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]

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]

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]

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]

Objectness measure [1] [Code]

Parametric min-cut [2] [Project]

Object proposal [3] [Project]

Shadow Detection using Paired Region [Project]

Ground shadow detection [Project]

Kanade-Lucas-Tomasi Feature Tracker [C Code]

Optical Flow Matlab/C++ code by Ce Liu [Project]

Horn and Schunck's method by Deqing Sun [Code]

Black and Anandan's method by Deqing Sun [Code]

Optical flow code by Deqing Sun [Matlab Code] [Project]

Large Displacement Optical Flow by Thomas Brox [Executable for 64-bit Linux] [ Matlab Mex-functions for 64-bit Linux and 32-bit Windows] [Project]

Variational Optical Flow by Thomas Brox [Executable for 64-bit Linux] [ Executable for 32-bit Windows ] [ Matlab Mex-functions for 64-bit Linux and 32-bit Windows ] [Project]

Particle filter object tracking [1] [Project]

KLT Tracker [2-3] [Project]

MILTrack [4] [Code]

Incremental Learning for Robust Visual Tracking [5] [Project]

Online Boosting Trackers [6-7] [Project]

L1 Tracking [8] [Matlab code]

Closed Form Matting [Code]

Spectral Matting [Project]

Learning-based Matting [Code]

Fast Bilateral Filter [Project]

Real-time O(1) Bilateral Filtering [Code]

SVM for Edge-Preserving Filtering [Code]

K-SVD [Matlab code]

BLS-GSM [Project]

BM3D [Project]

FoE [Code]

GFoE [Code]

Non-local means [Code]

Kernel regression [Code]

MRF for image super-resolution [Project]

Multi-frame image super-resolution [Project]

UCSC Super-resolution [Project]

Sprarse coding super-resolution [Code]

Eficient Marginal Likelihood Optimization in Blind Deconvolution [Code]

Analyzing spatially varying blur [Project]

Radon Transform [Code]

FSIM [1] [Project]

Degradation Model [2] [Project]

SSIM [3] [Project]

SPIQA [Code]

Dimensionality Reduction Toolbox [Project]

ISOMAP [Code]

LLE [Project]

Laplacian Eigenmaps [Code]

Diffusion maps [Code]

ANN: Approximate Nearest Neighbor Searching [Project] [Matlab wrapper]

FLANN: Fast Library for Approximate Nearest Neighbors [Project]

K-Means [VLFeat] [Oxford code]

Spectral Clustering [UW Project][Code] [Self-Tuning code]

Affinity Propagation [Project]

SVM [Libsvm] [SVM-Light] [SVM-Struct]

Boosting

Naive Bayes

SVM

RVM

GPR

SHOGUN [Project]

OpenKernel.org [Project]

DOGMA (online algorithms) [Project]

SimpleMKL [Project]

MIForests [1] [Project]

MILIS [2]

MILES [3] [Project] [Code]

DD-SVM [4] [Project]

Code for downloading Flickr images, by James Hays [Code]

The Lightspeed Matlab Toolbox by Tom Minka [Code]

MATLAB Functions for Multiple View Geometry [Code]

Peter's Functions for Computer Vision [Code]

Conference Information

Computer Image Analysis, Computer Vision Conferences

Papers

Computer vision paper on the web

NIPS Proceedings

Datasets

Compiled list of recognition datasets

Computer vision dataset from CMU

Lectures

Videolectures

Source Codes

Computer Vision Algorithm Implementations

OpenCV

Source Code Collection for Reproducible Research

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][Code]

Online Multiple Support Instance Tracking [Paper][Code]

Visual Tracking with Online Multiple Instance Learning[Project]

Object detection and recognition[Project]

Compressive Sensing Resources[Project]

Robust Real-Time Visual Tracking using Pixel-Wise Posteriors[Project]

Tracking-Learning-Detection[Project][OpenTLD/C++ Code]

the HandVu：vision-based hand gesture interface[Project]

Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex 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 From Shading Using Linear Approximation[Code]

Combining Shape from Shading and Stereo Depth Maps[Project][Code]

Shape from Shading: A Survey[Paper][Code]

A Spatio-Temporal Descriptor based on 3D Gradients (HOG3D)[Project][Code]

Multi-camera Scene Reconstruction via Graph Cuts[Paper][Code]

A Fast Marching Formulation of Perspective Shape from 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 3-D Scene Structure from a Single Still Image[Project]

十、机器学习算法：

Matlab class for computing Approximate Nearest Nieghbor (ANN) [Matlab class providing interface toANN library]

Random Sampling[code]

Probabilistic Latent Semantic Analysis (pLSA)[Code]

FASTANN and FASTCLUSTER for approximate k-means (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 Levenberg-Marquardt 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]

LeNet-5, convolutional neural networks[Project]

Training a deep autoencoder or a classifier on MNIST digits[Project]

Deep Learning 大牛Geoffrey E. Hinton's HomePage[Website]

Multiple Instance Logistic Discriminant-based Metric Learning (MildML) and Logistic Discriminant-based 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 Multi-Dimensional Boosting Regression[Paper][Code]

Estimating Human Pose from Occluded Images[Paper][Code]

Quasi-dense wide baseline matching[Project]

ChaLearn Gesture Challenge: Principal motion: PCA-based reconstruction of motion histograms[Project]

Real Time Head Pose Estimation with Random Regression Forests[Project]

2D Action Recognition Serves 3D Human Pose Estimation[

A Hough Transform-Based Voting Framework for Action Recognition[

Motion Interchange Patterns for Action Recognition in Unconstrained Videos[

2D articulated human pose estimation software[Project]

Learning and detecting shape models [code]

Progressive Search Space Reduction for Human Pose Estimation[Project]

Learning Non-Rigid 3D Shape from 2D Motion[Project]

十二、图像处理：

Distance Transforms of Sampled Functions[Project]

The Computer Vision Homepage[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 [

十三、一些实用工具：

EGT: a Toolbox for Multiple View Geometry 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：

finger-detection-and-gesture-recognition [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 Kanade-Lucas-Tomasi 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 Computation[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：

Semi-Supervised Distance Metric Learning for Collaborative Image Retrieval [Paper][code]

十八、马尔科夫随机场Markov Random Fields：

Markov Random Fields for Super-Resolution [Project]

A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based 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 Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications [Project]

changedetection.net: 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). Easy-to-use Matlab interface. See Modern features: Software – Slides providing a demonstration of VLFeat and also links to other software. Check also VLFeat hands-on session training

OpenCV – Various implementations of modern feature detectors and descriptors (SIFT, SURF, FAST, BRIEF, ORB, FREAK, etc.)

Fast Keypoint Detectors for Real-time Applications:

FAST – High-speed corner detector implementation for a wide variety of platforms

AGAST – Even faster than the FAST corner detector. A multi-scale version of this method is used for the BRISK descriptor (ECCV 2010).

Binary Descriptors for Real-Time 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 Oriented-Brief (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 code by David Lowe, GPU implementation, OpenSIFT

SURF: Herbert Bay’s code, OpenCV, GPU-SURF

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 state-of-the-art feature encoding methods – including Standard hard encoding, Kernel codebook encoding, Locality-constrained 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 Energy-Based Learning. It includes several demos and step-by-step instructions to train classifiers based on convolutional neural networks.

Torch7 – Provides a matlab-like environment for state-of-the-art machine learning algorithms, including a fast implementation of convolutional neural networks.

Deep Learning - Various links for deep learning software.

Part-Based Models

Deformable Part-based Detector – Library provided by the authors of the original paper (state-of-the-art in PASCAL VOC detection task)

Efficient Deformable Part-Based Detector – Branch-and-Bound implementation for a deformable part-based detector.

Accelerated Deformable Part Model – Efficient implementation of a method that achieves the exact same performance of deformable part-based detectors but with significant acceleration (ECCV 2012).

Coarse-to-Fine Deformable Part Model – Fast approach for deformable object detection (CVPR 2011).

Poselets – C++ and Matlab versions for object detection based on poselets.

Part-based 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 also ActionBank

Classemes, Picodes, and Meta-class features – Software for extracting high-level image descriptors (ECCV 2010, NIPS 2011, CVPR 2012).

Large-Scale Learning

Additive Kernels – Source code for fast additive kernel SVM classifiers (PAMI 2013).

LIBLINEAR – Library for large-scale linear SVM classification.

VLFeat – Implementation for Pegasos SVM and Homogeneous Kernel map.

Fast Indexing and Image Retrieval

FLANN – Library for performing fast approximate nearest neighbor.

Kernelized LSH – Source code for Kernelized Locality-Sensitive Hashing (ICCV 2009).

ITQ Binary codes – Code for generation of small binary codes using Iterative Quantization and other baselines such as Locality-Sensitive-Hashing (CVPR 2011).

INRIA Image Retrieval – Efficient code for state-of-the-art large-scale image retrieval (CVPR 2011).

Object Detection

See Part-based Models and Convolutional Nets above.

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 state-of-the-art implementations.

OpenCV – Enhanced implementation of Viola&Jones real-time object detector, with trained models for face detection.

Efficient Subwindow Search – Source code for branch-and-bound optimization for efficient object localization (CVPR 2008).

3D Recognition

Point-Cloud 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 computing space-time 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 pre-extracted feature representations for each image.

aYahoo and aPascal – Attribute annotations for images collected from 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.

[url=http://vis-www.cs.umass.edu/lfw/]LFW[/url] – 13,233 face images of 5,749 people with 73 attribute classifier outputs.

Human Attributes – 8,000 people with annotated attributes. Check also this link for another dataset of human attributes.

SUN Attribute Database – Large-scale scene attribute database with a taxonomy 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 this link for the WhittleSearch data.

Attribute Discovery Dataset – Images of shopping categories associated with textual descriptions.

Fine-grained Visual Categorization

Caltech-UCSD Birds Dataset – Hundreds of bird categories with annotated parts and attributes.

Stanford Dogs Dataset – 20,000 images of 120 breeds of dogs from around the world.

Oxford-IIIT 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

[url=http://vis-www.cs.umass.edu/fddb/]FDDB[/url] – UMass face detection dataset and benchmark (5,000+ faces)

CMU/MIT – Classical face detection dataset.

Face Recognition

Face Recognition Homepage – Large collection of face recognition datasets.

[url=http://vis-www.cs.umass.edu/lfw/]LFW[/url] – UMass unconstrained face recognition dataset (13,000+ face images).

NIST Face Homepage – includes face recognition grand challenge (FRGC), vendor tests (FRVT) and others.

CMU Multi-PIE – 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 – Low-resolution face dataset captured from 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 from 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 from a stereo rig mounted on a stroller.

TUD-Brussels 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 from 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 computer 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

RGB-D Object Dataset – Dataset containing 300 common household objects

Reference:

[1]: http://rogerioferis.com/VisualRecognitionAndSearch/Resources.html

SURF特征: http://www.vision.ee.ethz.ch/software/index.de.html(当然这只是其中之一)

LBP特征(一种纹理特征)：http://www.comp.hkbu.edu.hk/~icpr06/tutorials/Pietikainen.html

Fast Corner Detection（OpenCV中的Fast算法）:FAST Corner Detection -- Edward Rosten

A simple object detector with boosting(Awarded the Best Short Course Prize at ICCV 2005，So了解adaboost的推荐之作)：http://people.csail.mit.edu/torralba/shortCourseRLOC/boosting/boosting.html

Boosting(该网页上有相当全的Boosting的文章和几个Boosting代码，本人推荐)：http://cbio.mskcc.org/~aarvey/boosting_papers.html

Adaboost Matlab 工具：http://graphics.cs.msu.ru/en/science/research/machinelearning/adaboosttoolbox

MultiBoost(不说啥了，多类Adaboost算法的程序)：http://sourceforge.net/projects/multiboost/

TextonBoost(我们教研室王冠夫师兄的毕设): Jamie Shotton - Code

LibSvm的老爹（推荐）: http://www.csie.ntu.edu.tw/~cjlin/

Conditional Random Fields（CRF论文+Code列表，推荐）

CRF++: Yet Another CRF toolkit

Conditional Random Field (CRF) Toolbox for Matlab

Tree CRFs

LingPipe: Installation

Hidden Markov Models（推荐）

隐马尔科夫模型(Hidden Markov Models)系列之一 - eaglex的专栏 - 博客频道 - CSDN.NET（推荐）

CvPapers(好吧，牛吧网站，里面有ICCV，CVPR，ECCV，SIGGRAPH的论文收录，然后还有一些论文的代码搜集，要求加精！)：http://www.cvpapers.com/

Computer Vision Software(里面代码很多，并详细的给出了分类)：http://peipa.essex.ac.uk/info/software.html

某人的Windows Live（我看里面东东不少就收藏了）：https://skydrive.live.com/?cid=3b6244088fd5a769#cid=3B6244088FD5A769&id=3B6244088FD5A769!523

MATLAB and Octave Functions for Computer Vision and Image Processing（这个里面的东西也很全，只是都是用Matlab和Octave开发的）：http://www.csse.uwa.edu.au/~pk/research/matlabfns/

Computer Vision Resources（里面的视觉算法很多，给出了相应的论文和Code，挺好的）：https://netfiles.uiuc.edu/jbhuang1/www/resources/vision/index.html

MATLAB Functions for Multiple View Geometry（关于物体多视角计算的库）：http://www.robots.ox.ac.uk/~vgg/hzbook/code/

Evolutive Algorithm based on Naïve Bayes models Estimation（单独列了一个算法的Code）：http://www.cvc.uab.cat/~xbaro/eanbe/#_Software

Pablo Negri's Home Page

Jianxin Wu's homepage

Peter Carbonetto

Markov Random Fields for Super-Resolution

Detecting and Sketching the Common

Pedro Felzenszwalb

Hae JONG, SEO

CAP 5416 - Computer Vision

Parallel Tracking and Mapping for Small AR Workspaces (PTAM)

Deva Ramanan - UC Irvine - Computer Vision

Raghuraman Gopalan

Hui Kong

Jamie Shotton - Post-Doctoral Researcher in Computer Vision

Jean-Yves AUDIBERT

Olga Veksler

Stephen Gould

Publications (Last Update: 09/30/10)

Karim Ali - FlowBoost

A simple parts and structure object detector

Code - Oxford Brookes Vision Group

Taku Kudo

Histogram of Oriented Gradient (Windows)

INRIA Pedestrian detector

Poselets

William Robson Schwartz - Softwares

calvin upper-body detector v1.02

[email protected]

Main Page

Source Code

Dr. Luciano Spinello

Pedestrian Detection

Class-Specific Hough Forests for Object Detection

Jianxin Wu's homepage（就是上面的）

Berkeley大学做的Pedestrian Detector，使用交叉核的支持向量机，特征使用HOG金字塔，提供Matlab和C++混编的代码：http://www.cs.berkeley.edu/~smaji/projects/ped-detector/

High Speed Obstacle Avoidance using Monocular Vision and Reinforcement Learning

TLD(2010年很火的tracking算法)

online boosting trackers

Boris Babenko

Optical Flow Algorithm Evaluation (提供了一个动态贝叶斯网络框架，例如递 归信息处理与分析、卡尔曼滤波、粒子滤波、序列蒙特卡罗方法等，C++写的)http://of-eval.sourceforge.net/

Object Detection

Software for object detection

Source Code

10个人脸检测项目

Jianxin Wu's homepage（又是这货）

An ICA page-papers,code,demo,links (Tony Bell)

FastICA

Cached k-d tree search for ICP algorithms

卡尔曼滤波：The Kalman Filter(终极网页)

Bayesian Filtering Library: The Bayesian Filtering Library

Source Code

Vanishing point detection for general road detection

MATLAB Normalized Cuts Segmentation Code：software

超像素分割：SLIC Superpixels

以上是从下面网址中汇总来的：

http://www.360doc.com/content/12/0201/11/8703626_183332994.shtml

https://www.cnblogs.com/findumars/p/5009003.html

另外，在http://blog.csdn.net/zouxy09/article/details/8550952里也给出了一些项目链接汇总。