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asiftmatlab,[转载]计算机视觉算法与代码集锦
Topic
Name
Reference
Link
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. Marszałek, and C.
Schmid, BMVC, 2008.
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
Alpha Matting
Spectral Matting
A. Levin, A. Rav-Acha, D.
Lischinski. Spectral Matting. PAMI 2008
Alpha Matting
Shared Matting
E. S. L. Gastal and M. M.
Oliveira, Computer Graphics Forum, 2010
Alpha Matting
Bayesian Matting
Y. Y. Chuang, B. Curless, D. H.
Salesin, and R. Szeliski, A Bayesian Approach to Digital Matting,
CVPR, 2001
Alpha Matting
Closed Form Matting
A. Levin D. Lischinski and Y.
Weiss. A Closed Form Solution to Natural Image Matting, PAMI
2008.
Alpha Matting
Learning-based
Matting
Y. Zheng and C. Kambhamettu,
Learning Based Digital Matting, ICCV 2009
Camera Calibration
Camera Calibration Toolbox for
Matlab
Camera Calibration
EasyCamCalib
J. Barreto, J. Roquette, P.
Sturm, and F. Fonseca, Automatic camera calibration applied to
medical endoscopy, BMVC, 2009
Camera Calibration
Epipolar Geometry
Toolbox
G.L. Mariottini, D.
Prattichizzo, EGT: a Toolbox for Multiple View Geometry and Visual
Servoing, IEEE Robotics & Automation Magazine,
2005
Clustering
Spectral Clustering - UW
Project
Clustering
K-Means - VLFeat
Common Visual Pattern
Discovery
Sketching the
Common
S. Bagon, O. Brostovsky, M.
Galun and M. Irani, Detecting and Sketching the Common, CVPR
2010
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
Density Estimation
Kernel Density Estimation
Toolbox
Depth Sensor
Kinect SDK
Distance Metric
Learning
Matlab Toolkit for Distance
Metric Learning
Distance
Transformation
Distance Transforms of Sampled
Functions
Feature Detection
Canny Edge
Detection
J. Canny, A Computational
Approach To Edge Detection, PAMI, 1986
Feature Detection
FAST Corner
Detection
E. Rosten and T. Drummond,
Machine learning for high-speed corner detection, ECCV,
2006
Feature Detection
Edge Foci Interest
Points
L. Zitnickand K. Ramnath, Edge
Foci Interest Points, ICCV, 2011
Feature Detection
Boundary Preserving Dense Local
Regions
J. Kim and K. Grauman, Boundary
Preserving Dense Local Regions, CVPR 2011
Feature Extraction
BRIEF: Binary Robust
Independent Elementary Features
M. Calonder, V. Lepetit, C.
Strecha, P. Fua, BRIEF: Binary Robust Independent Elementary
Features, ECCV 2010
Feature Detection andFeature
Extraction
Scale-invariant feature
transform (SIFT) - VLFeat
D. Lowe. Distinctive Image
Features from Scale-Invariant Keypoints, IJCV 2004.
Feature Detection andFeature
Extraction
Scale-invariant feature
transform (SIFT) - Demo Software
D. Lowe. Distinctive Image
Features from Scale-Invariant Keypoints, IJCV 2004.
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
Feature Detection andFeature
Extraction
Affine-SIFT
J.M. Morel and G.Yu, ASIFT, A
new framework for fully affine invariant image comparison. SIAM
Journal on Imaging Sciences, 2009
Feature Detection andFeature
Extraction
Geometric Blur
A. C. Berg, T. L. Berg, and J.
Malik. Shape matching and object recognition using low distortion
correspondences. CVPR, 2005
Feature Extraction
PCA-SIFT
Y. Ke and R. Sukthankar,
PCA-SIFT: A More Distinctive Representation for Local Image
Descriptors,CVPR, 2004
Feature Detection andFeature
Extraction
Scale-invariant feature
transform (SIFT) - Library
D. Lowe. Distinctive Image
Features from Scale-Invariant Keypoints, IJCV 2004.
Feature Detection andFeature
Extraction
Groups of Adjacent Contour
Segments
V. Ferrari, L. Fevrier, F.
Jurie, and C. Schmid, Groups of Adjacent Contour Segments for
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