2013计算机视觉代码合集一

转载自http://www.yuanyong.org/blog/cv/cv-code-one
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[Project]
A Hough Transform-Based 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 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 [Project]
 
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[b]Image Retrieval：[/b]
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]