计算机视觉代码合集

Topic

Resources

References

Category-Independent Object Proposal

·         Objectness measure [1] [Code]

·         Parametric min-cut [2] [Project]

·         Object proposal [3] [Project]

1.    B. Alexe, T. Deselaers, V. Ferrari, What is an Object?, CVPR 2010 [PDF]

2.    J. Carreira and C. Sminchisescu. Constrained Parametric Min-Cuts for Automatic Object Segmentation, CVPR 2010. [PDF]

3.    I. Endres and D. Hoiem. Category Independent Object Proposals, ECCV 2010. [PDF]

MRF

·         Graph Cut [Project] [C++/Matlab Wrapper Code]

1.    Y. Boykov, O. Veksler and R. Zabih, Fast Approximate Energy Minimization via Graph Cuts, PAMI 2001 [PDF]

Shadow Detection

·         Shadow Detection using Paired Region [Project]

·         Ground shadow detection [Project]

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

2.    J.-F. Lalonde, A. A. Efros, S. G. Narasimhan, Detecting Ground Shadowsin Outdoor Consumer Photographs, ECCV 2010 [PDF]

Optical Flow

·         Kanade-Lucas-Tomasi Feature Tracker [C Code]

·         Optical Flow Matlab/C++ code by Ce Liu [Project]

·         Horn and Schunck's method by Deqing Sun [Code]

·         Black and Anandan's method by Deqing Sun [Code]

·         Optical flow code by Deqing Sun [Matlab Code] [Project]

·         Large Displacement Optical Flow by Thomas Brox [Executable for 64-bit Linux] [ Matlab Mex-functions for 64-bit Linux and 32-bit Windows] [Project]

·         Variational Optical Flow by Thomas Brox [Executable for 64-bit Linux] [ Executable for 32-bit Windows ] [ Matlab Mex-functions for 64-bit Linux and 32-bit Windows ] [Project]

1.    B.D. Lucas and T. Kanade, An Iterative Image Registration Technique with an Application to Stereo Vision, IJCAI 1981. [PDF]

2.    J. Shi, C. Tomasi, Good Feature to Track, CVPR 1994. [PDF]

3.    C. Liu. Beyond Pixels: Exploring New Representations and Applications for Motion Analysis. Doctoral Thesis. MIT 2009. [PDF]

4.    B.K.P. Horn and B.G. Schunck, Determining Optical Flow, Artificial Intelligence 1981. [PDF]

5.    M. J. Black and P. Anandan, A framework for the robust estimation of optical flow, ICCV 93. [PDF]

6.    D. Sun, S. Roth, and M. J. Black, Secrets of optical flow estimation and their principles, CVPR 2010. [PDF]

7.    T. Brox, J. Malik, Large displacement optical flow: descriptor matching in variational motion estimation, PAMI, 2010 [PDF]

8.    T. Brox, A. Bruhn, N. Papenberg, J. Weickert, High accuracy optical flow estimation based on a theory for warping, ECCV 2004 [PDF]

Object Tracking

·         Particle filter object tracking [1] [Project]

·         KLT Tracker [2-3] [Project]

·         MILTrack [4] [Code]

·         Incremental Learning for Robust Visual Tracking [5] [Project]

·         Online Boosting Trackers [6-7] [Project]

·         L1 Tracking [8] [Matlab code]

1.    P. Perez, C. Hue, J. Vermaak, and M. Gangnet. Color-Based Probabilistic Tracking ECCV, 2002. [PDF]

2.    B.D. Lucas and T. Kanade, An Iterative Image Registration Technique with an Application to Stereo Vision, IJCAI 1981. [PDF]

3.    J. Shi, C. Tomasi, Good Feature to Track, CVPR 1994. [PDF]

4.    B. Babenko, M. H. Yang, S. Belongie, Robust Object Tracking with Online Multiple Instance Learning, PAMI 2011 [PDF]

5.    D. Ross, J. Lim, R.-S. Lin, M.-H. Yang, Incremental Learning for Robust Visual Tracking, IJCV 2007 [PDF]

6.    H. Grabner, and H. Bischof, On-line Boosting and Vision, CVPR 2006 [PDF]

7.    H. Grabner, C. Leistner, and H. Bischof, Semi-supervised On-line Boosting for Robust Tracking, ECCV 2008 [PDF]

8.    X. Mei and H. Ling, Robust Visual Tracking using L1 Minimization, ICCV, 2009. [PDF]

Image Matting

·         Closed Form Matting [Code]

·         Spectral Matting [Project]

·         Learning-based Matting [Code]

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

2.    A. Levin, A. Rav-Acha, D. Lischinski. Spectral Matting. PAMI 2008. [PDF]

3.    Y. Zheng and C. Kambhamettu, Learning Based Digital Matting, ICCV 2009 [PDF]

Bilateral Filtering

·         Fast Bilateral Filter [Project]

·         Real-time O(1) Bilateral Filtering [Code]

·         SVM for Edge-Preserving Filtering [Code]

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

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

Image Denoising

·         K-SVD [Matlab code]

·         BLS-GSM [Project]

·         BM3D [Project]

·         FoE [Code]

·         GFoE [Code]

·         Non-local means [Code]

·         Kernel regression [Code]

 

Image Super-Resolution

·         MRF for image super-resolution [Project]

·         Multi-frame image super-resolution [Project]

·         UCSC Super-resolution [Project]

·         Sprarse coding super-resolution [Code]

 

Image Deblurring

·         Eficient Marginal Likelihood Optimization in Blind Deconvolution [Code]

·         Analyzing spatially varying blur [Project]

·         Radon Transform [Code]

 

Image Quality Assessment

·         FSIM [1] [Project]

·         Degradation Model [2] [Project]

·         SSIM [3] [Project]

·         SPIQA [Code]

1.    L. Zhang, L. Zhang, X. Mou and D. Zhang, FSIM: A Feature Similarity Index for Image Quality Assessment, TIP 2011. [PDF]

2.    N. Damera-Venkata, and T. D. Kite, W. S. Geisler, B. L. Evans, and A. C. Bovik,Image Quality Assessment Based on a Degradation Model, TIP 2000. [PDF]

3.    Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli, Image quality assessment: from error visibility to structural similarity, TIP 2004. [PDF]

4.    B. Ghanem, E. Resendiz, and N. Ahuja, Segmentation-Based Perceptual Image Quality Assessment (SPIQA), ICIP 2008. [PDF]

Density Estimation

·         Kernel Density Estimation Toolbox [Project]

 

Dimension Reduction

·         Dimensionality Reduction Toolbox [Project]

·         ISOMAP [Code]

·         LLE [Project]

·         Laplacian Eigenmaps [Code]

·         Diffusion maps [Code]

 

Sparse Coding

 

 

Low-Rank Matrix Completion

 

 

Nearest Neighbors matching

·         ANN: Approximate Nearest Neighbor Searching [Project] [Matlab wrapper]

·         FLANN: Fast Library for Approximate Nearest Neighbors [Project]

 

Steoreo

·         StereoMatcher [Project]

1.    D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, IJCV 2002 [PDF]

Structure from motion

·         Boundler [1] [Project]

 

1.    N. Snavely, S. M. Seitz, R. Szeliski. Photo Tourism: Exploring image collections in 3D. SIGGRAPH, 2006. [PDF]

Distance Transformation

·         Distance Transforms of Sampled Functions [1] [Project]

1.    P. F. Felzenszwalb and D. P. Huttenlocher. Distance transforms of sampled functions. Technical report, Cornell University, 2004. [PDF]

Chamfer Matching

·         Fast Directional Chamfer Matching [Code]

1.    M.-Y. Liu, O. Tuzel, A. Veeraraghavan, and R. Chellappa, Fast Directional Chamfer Matching, CVPR 2010 [PDF]

Clustering

·         K-Means [VLFeat] [Oxford code]

·         Spectral Clustering [UW Project][Code] [Self-Tuning code]

·         Affinity Propagation [Project]

 

Classification

·         SVM [Libsvm] [SVM-Light] [SVM-Struct]

·         Boosting

·         Naive Bayes

 

Regression

·         SVM

·         RVM

·         GPR