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  • 计算机视觉与模式识别代码合集第二版one

    Topic

    Name

    Reference

    code

    Feature Detection, Feature Extraction, and Action Recognition

    Space-Time Interest Points (STIP)

    I. Laptev, On Space-Time Interest Points, IJCV, 2005 and I. Laptev and T. Lindeberg, On Space-Time Interest Points, IJCV 2005

    		  

    Action Recognition

    3D Gradients (HOG3D)

    A. Klaser, M. Marszaek, and C. Schmid, BMVC, 2008.

    code

    Action Recognition

    Dense Trajectories Video Description

    H. Wang and A. Klaser and C. Schmid and C.- L. Liu, Action Recognition by Dense Trajectories, CVPR, 2011

    code

    Alpha Matting

    Spectral Matting

    A. Levin, A. Rav-Acha, D. Lischinski. Spectral Matting. PAMI 2008

    code

    Alpha Matting

    Shared Matting

    ESL Gastal and MM Oliveira, Computer Graphics Forum, 2010

    code

    Alpha Matting

    Bayesian Matting

    YY Chuang, B. Curless, DH Salesin, and R. Szeliski, A Bayesian Approach to Digital Matting, CVPR, 2001

    code

    Alpha Matting

    Closed Form Matting

    A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting, PAMI 2008.

    code

    Alpha Matting

    Learning-based Matting

    Y. Zheng and C. Kambhamettu, Learning Based Digital Matting, ICCV 2009

    code

    Camera Calibration

    Camera Calibration Toolbox for Matlab

    http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/ref.html

    code

    Camera Calibration

    EasyCamCalib

    J. Barreto, J. Roquette, P. Sturm, and F. Fonseca, Automatic camera calibration applied to medical endoscopy, BMVC, 2009

    code

    Camera Calibration

    Epipolar Geometry Toolbox

    GL Mariottini, D. Prattichizzo, EGT: a Toolbox for Multiple View Geometry and Visual Servoing, IEEE Robotics & Automation Magazine, 2005

    code

    Clustering

    Spectral Clustering - UW Project

    		  

    code

    Clustering

    Spectral Clustering - UCSD Project

    		  

    code

    Clustering

    Self-Tuning Spectral Clustering

    		  

    code

    Clustering

    K-Means - Oxford Code

    		  

    code

    Clustering

    K-Means - VLFeat

    		  

    code

    Common Visual Pattern Discovery

    Sketching the Common

    S. Bagon, O. Brostovsky, M. Galun and M. Irani, Detecting and Sketching the Common, CVPR 2010

    code

    Common Visual Pattern Discovery

    Common Visual Pattern Discovery via Spatially Coherent Correspondences

    H. Liu, S. Yan, "Common Visual Pattern Discovery via Spatially Coherent Correspondences", CVPR 2010

    code

    Density Estimation

    Kernel Density Estimation Toolbox

    		  

    code

    Depth Sensor

    Kinect SDK

    http://www.microsoft.com/en-us/kinectforwindows/

    code

    Dimension Reduction

    ISOMAP

    		  

    code

    Dimension Reduction

    LLE

    		  

    code

    Dimension Reduction

    Laplacian Eigenmaps

    		  

    code

    Dimension Reduction

    Diffusion maps

    		  

    code

    Dimension Reduction

    Dimensionality Reduction Toolbox

    		  

    code

    Distance Metric Learning

    Matlab Toolkit for Distance Metric Learning

    		  

    code

    Distance Transformation

    Distance Transforms of Sampled Functions

    		  

    code

    Feature Detection

    Canny Edge Detection

    J. Canny, A Computational Approach To Edge Detection, PAMI, 1986

    code

    Feature Detection

    FAST Corner Detection

    E. Rosten and T. Drummond, Machine learning for high-speed corner detection, ECCV, 2006

    code

    Feature Detection

    Edge Foci Interest Points

    L. Zitnickand K. Ramnath, Edge Foci Interest Points, ICCV, 2011

    code

    Feature Detection

    Boundary Preserving Dense Local Regions

    J. Kim and K. Grauman, Boundary Preserving Dense Local Regions, CVPR 2011

    code

    Feature Extraction

    BRIEF: Binary Robust Independent Elementary Features

    M. Calonder, V. Lepetit, C. Strecha, P. Fua, BRIEF: Binary Robust Independent Elementary Features, ECCV 2010

    code

    Feature Detection andFeature Extraction

    Scale-invariant feature transform (SIFT) - VLFeat

    D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints, IJCV 2004.

    code

    Feature Detection andFeature Extraction

    Scale-invariant feature transform (SIFT) - Demo Software

    D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints, IJCV 2004.

    code

    Feature Extraction

    Global and Efficient Self-Similarity

    T. Deselaers and V. Ferrari. Global and Efficient Self-Similarity for Object Classification and Detection. CVPR 2010and T. Deselaers, V. Ferrari, Global and Efficient Self-Similarity for Object Classification and Detection, CVPR 2010

    code

    Feature Detection andFeature Extraction

    Affine-SIFT

    JM Morel and G.Yu, ASIFT, A new framework for fully affine invariant image comparison. SIAM Journal on Imaging Sciences, 2009

    code

    Feature Detection andFeature Extraction

    Geometric Blur

    AC Berg, TL Berg, and J. Malik. Shape matching and object recognition using low distortion correspondences. CVPR, 2005

    code

    Feature Extraction

    PCA-SIFT

    Y. Ke and R. Sukthankar, PCA-SIFT: A More Distinctive Representation for Local Image Descriptors,CVPR, 2004

    code

    Feature Detection andFeature Extraction

    Scale-invariant feature transform (SIFT) - Library

    D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints, IJCV 2004.

    code

    Feature Detection andFeature Extraction

    Groups of Adjacent Contour Segments

    V. Ferrari, L. Fevrier, F. Jurie, and C. Schmid, Groups of Adjacent Contour Segments for Object Detection, PAMI, 2007

    code

    Feature Detection andFeature Extraction

    Speeded Up Robust Feature (SURF) - Matlab Wrapper

    H. Bay, T. Tuytelaars and LV Gool SURF: Speeded Up Robust Features, ECCV, 2006

    code

    Feature Extraction

    Shape Context

    S. Belongie, J. Malik and J. Puzicha. Shape matching and object recognition using shape contexts, PAMI, 2002

    code

    Feature Detection andFeature Extraction

    Speeded Up Robust Feature (SURF) - Open SURF

    H. Bay, T. Tuytelaars and LV Gool SURF: Speeded Up Robust Features, ECCV, 2006

    code

    Feature Detection andFeature Extraction

    Maximally stable extremal regions (MSER)

    J. Matas, O. Chum, M. Urba, and T. Pajdla. Robust wide baseline stereo from maximally stable extremal regions. BMVC, 2002

    code

    Feature Extraction

    GIST Descriptor

    A. Oliva and A. Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope, IJCV, 2001

    code

    Feature Detection andFeature Extraction

    Color Descriptor

    KEA van de Sande, T. Gevers and Cees GM Snoek, Evaluating Color Descriptors for Object and Scene Recognition, PAMI, 2010

    code

    Feature Extraction

    Local Self-Similarity Descriptor

    E. Shechtman and M. Irani. Matching local self-similarities across images and videos, CVPR, 2007

    code

    Topic

    Name

    Reference

    code

    Feature Detection andFeature Extraction

    Maximally stable extremal regions (MSER) - VLFeat

    J. Matas, O. Chum, M. Urba, and T. Pajdla. Robust wide baseline stereo from maximally stable extremal regions. BMVC, 2002

    code

    Feature Extraction

    Pyramids of Histograms of Oriented Gradients (PHOG)

    A. Bosch, A. Zisserman, and X. Munoz, Representing shape with a spatial pyramid kernel, CIVR, 2007

    code

    Feature Detection andFeature Extraction

    Affine Covariant Features

    T. Tuytelaars and K. Mikolajczyk, Local Invariant Feature Detectors: A Survey, Foundations and Trends in Computer Graphics and Vision, 2008

    code

    Feature Extraction

    sRD-SIFT

    M. Lourenco, JP Barreto and A. Malti, Feature Detection and Matching in Images with Radial Distortion, ICRA 2010

    code

    Graph Matching

    Reweighted Random Walks for Graph Matching

    M. Cho, J. Lee, and KM Lee, Reweighted Random Walks for Graph Matching, ECCV 2010

    code

    Graph Matching

    Hyper-graph Matching via Reweighted Random Walks

    J. Lee, M. Cho, KM Lee. "Hyper-graph Matching via Reweighted Random Walks", CVPR 2011

    code

    Illumination, Reflectance, and Shadow

    Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequences

    JF. Lalonde, AA Efros, SG Narasimhan, Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequences, SIGGRAPH Asia 2009

    code

    Illumination, Reflectance, and Shadow

    Ground shadow detection

    J.-F. Lalonde, AA Efros, SG Narasimhan, Detecting Ground Shadowsin Outdoor Consumer Photographs, ECCV 2010

    code

    Illumination, Reflectance, and Shadow

    Shadow Detection using Paired Region

    R. Guo, Q. Dai and D. Hoiem, Single-Image Shadow Detection and Removal using Paired Regions, CVPR 2011

    code

    Illumination, Reflectance, and Shadow

    Real-time Specular Highlight Removal

    Q. Yang, S. Wang and N. Ahuja, Real-time Specular Highlight Removal Using Bilateral Filtering, ECCV 2010

    code

    Illumination, Reflectance, and Shadow

    Estimating Natural Illumination from a Single Outdoor Image

    JF. Lalonde, AA Efros, SG Narasimhan, Estimating Natural Illumination from a Single Outdoor Image , ICCV 2009

    code

    Illumination, Reflectance, and Shadow

    What Does the Sky Tell Us About the Camera?

    JF. Lalonde, SG Narasimhan, AA Efros, What Does the Sky Tell Us About the Camera?, ECCV 2008

    code

    Image Classification

    Locality-constrained Linear Coding

    J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained Linear Coding for Image Classification, CVPR, 2010

    code

    Image Classification

    Sparse Coding for Image Classification

    J. Yang, K. Yu, Y. Gong, T. Huang, Linear Spatial Pyramid Matching using Sparse Coding for Image Classification, CVPR, 2009

    code

    Image Classification

    Texture Classification

    M. Varma and A. Zisserman, A statistical approach to texture classification from single images, IJCV2005

    code

    Feature Matching andImage Classification

    The Pyramid Match: Efficient Matching for Retrieval and Recognition

    K. Grauman and T. Darrell. The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features, ICCV 2005

    code

    Image Classification

    Spatial Pyramid Matching

    S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, CVPR 2006

    code

    Image Deblurring

    Radon Transform

    TS Cho, S. Paris, BKP Horn, WT Freeman, Blur kernel estimation using the radon transform, CVPR 2011

    code

    Image Deblurring

    Analyzing spatially varying blur

    A. Chakrabarti, T. Zickler, and WT Freeman, Analyzing Spatially-varying Blur, CVPR 2010

    code

    Image Denoising,Image Super-resolution, and Image Deblurring

    Learning Models of Natural Image Patches

    D. Zoran and Y. Weiss, From Learning Models of Natural Image Patches to Whole Image Restoration, ICCV, 2011

    code

    Image Deblurring

    Non-blind deblurring (and blind denoising) with integrated noise estimation

    U. Schmidt, K. Schelten, and S. Roth. Bayesian deblurring with integrated noise estimation, CVPR 2011

    code

    Image Deblurring

    Eficient Marginal Likelihood Optimization in Blind Deconvolution

    A. Levin, Y. Weiss, F. Durand, WT Freeman. Efficient Marginal Likelihood Optimization in Blind Deconvolution, CVPR 2011

    code

    Image Deblurring

    Richardson-Lucy Deblurring for Scenes under Projective Motion Path

    Y.-W. Tai, P. Tan, MS Brown: Richardson-Lucy Deblurring for Scenes under Projective Motion Path, PAMI 2011

    code

    Image Denoising

    Sparsity-based Image Denoising

    W. Dong, X. Li, L. Zhang and G. Shi, Sparsity-based Image Denoising vis Dictionary Learning and Structural Clustering, CVPR, 2011

    code

    Image Denoising

    K-SVD

    		  

    code

    Image Denoising

    Clustering-based Denoising

    P. Chatterjee and P. Milanfar, Clustering-based Denoising with Locally Learned Dictionaries (K-LLD), TIP, 2009

    code

    Image Denoising

    BLS-GSM

    		  

    code

    Image Denoising

    Field of Experts

    		  

    code

    Image Denoising

    Non-local Means

    		  

    code

    Image Denoising

    What makes a good model of natural images ?

    Y. Weiss and WT Freeman, CVPR 2007

    code

    Image Denoising

    BM3D

    		  

    code

    Image Denoising

    Kernel Regressions

    		    

    Image Denoising

    Gaussian Field of Experts

    		  

    code

    Image Denoising

    Nonlocal means with cluster trees

    T. Brox, O. Kleinschmidt, D. Cremers, Efficient nonlocal means for denoising of textural patterns, TIP 2008

    code

    Image Filtering

    GradientShop

    P. Bhat, CL Zitnick, M. Cohen, B. Curless, and J. Kim, GradientShop: A Gradient-Domain Optimization Framework for Image and Video Filtering, TOG 2010

    code

    Image Filtering

    Weighted Least Squares Filter

    Z. Farbman, R. Fattal, D. Lischinski, R. Szeliski, Edge-Preserving Decompositions for Multi-Scale Tone and Detail Manipulation, SIGGRAPH 2008

    code

    Image Filtering

    Real-time O(1) Bilateral Filtering

    Q. Yang, K.-H. Tan and N. Ahuja, Real-time O(1) Bilateral Filtering, CVPR 2009

    code

    Image Filtering

    Guided Image Filtering

    K. He, J. Sun, X. Tang, Guided Image Filtering, ECCV 2010

    code

    Image Filtering

    Fast Bilateral Filter

    S. Paris and F. Durand, A Fast Approximation of the Bilateral Filter using a Signal Processing Approach, ECCV, 2006

    code

    Image Filtering

    Image smoothing via L0 Gradient Minimization

    L. Xu, C. Lu, Y. Xu, J. Jia, Image smoothing via L0 Gradient Minimization, SIGGRAPH Asia 2011

    code

    Image Filtering

    Domain Transformation

    E. Gastal, M. Oliveira, Domain Transform for Edge-Aware Image and Video Processing, SIGGRAPH 2011

    code

    Image Processing andImage Filtering

    Piotr's Image & Video Matlab Toolbox

    Piotr Dollar, Piotr's Image & Video Matlab Toolbox, http://vision.ucsd.edu/~pdollar/toolbox/doc/index.html

    code

    Image Filtering

    Local Laplacian Filters

    S. Paris, S. Hasinoff, J. Kautz, Local Laplacian Filters: Edge-Aware Image Processing with a Laplacian Pyramid, SIGGRAPH 2011

    code

    Image Filtering

    SVM for Edge-Preserving Filtering

    Q. Yang, S. Wang, and N. Ahuja, SVM for Edge-Preserving Filtering, CVPR 2010

    code

    Image Filtering

    Anisotropic Diffusion

    P. Perona and J. Malik, Scale-space and edge detection using anisotropic diffusion, PAMI 1990

    code
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  • 原文地址：https://www.cnblogs.com/timssd/p/5155175.html
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