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