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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