2013 Computer Vision code collection

Statement: This article is not original, original Reprinted from: http://www.yuanyong.org/blog/cv/cv-code

 

I. Feature ExtractionFeature Extraction:

• Sift [1] [demo program] [sift library] [vlfeat]
• PCA-SIFT [2] [project]
• Affine-sift [3] [project]
• Surf [4] [opensurf] [MATLAB wrapper]
• Affine covariant features [5] [Oxford project]
• Mser [6] [Oxford project] [vlfeat]
• Geometric Blur [7] [Code]
• Local self-similarity descriptor [8] [Oxford implementation]
• Global and efficient self-similarity [9] [Code]
• Histogram of Oriented graidents [10] [INRIA object localization toolkit] [OLT toolkit for Windows]
• GIST [11] [project]
• Shape context [12] [project]
• Color descriptor [13] [project]
• Pyramids of histograms of Oriented gradients [Code]
• Space-time interest points (STIP) [14] [project] [Code]
• Boundary preserving dense local regions [15] [project]
• Weighted histogram [Code]
• Histogram-based interest points detectors [Paper] [Code]
• An opencv-C ++ implementation of Local Self Similarity descriptors [project]
• Fast sparse representation with prototypes [project]
• Corner Detection [project]
• Agast corner detector: Faster than fast and even FAST-ER [project]
• Real-time Facial Feature Detection Using conditional regression forests [project]
• Global and efficient self-similarity for Object Classification and detection [Code]
• W α sh: weighted α-shapes for local feature detection [project]
• Hog [project]
• Online selection of discriminative tracking features [project]

 

Ii. Image SegmentationImage Segmentation:

• Normalized Cut [1] [Matlab code]
• Gerg Mori 'superpixel code [2] [Matlab code]
• Efficient graph-based image segmentation [3] [C ++ Code] [MATLAB wrapper]
• Mean-Shift Image Segmentation [4] [Edison C ++ Code] [MATLAB wrapper]
• OWT-UCM hierarchical segmentation [5] [resources]
• Turbepixels [6] [Matlab code 32bit] [Matlab code 64bit] [updated code]
• Quick-shift [7] [vlfeat]
• SLIC superpixels [8] [project]
• Segmentation by minimum code length [9] [project]
• Biased Normalized Cut [10] [project]
• Segmentation tree [11-12] [project]
• Entropy Rate superpixel segmentation [13] [Code]
• Fast approximate energy minimization via Graph Cuts [Paper] [Code]
• Ef? Cient planar graph cuts with applications in computer vision [Paper] [Code]
• Isoperimetric graph partitioning for image segmentation [Paper] [Code]
• Random Walks for image segmentation [Paper] [Code]
• Blossom V: a new implementation of a minimum cost perfect matching algorithm [Code]
• An experimental comparison of Min-CUT/max-flow algorithms for energy minimization in computer vision [Paper] [Code]
• Geodesic star convexity for interactive image segmentation [project]
• Contour detection and image segmentation resources [project] [Code]
• Biased normalized cuts [project]
• Max-flow/min-cut [project]
• Chan-vese segmentation using Level Set [project]
• A toolbox of Level Set methods [project]
• Re-initialization free level set evolution via reaction diffusion [project]
• Improved C-V Active Contour Model [Paper] [Code]
• A variational multiphase Level Set Approach to simultaneous segmentation and bias correction [Paper] [Code]
• Level Set Method Research by Chunming Li [project]
• Classcut for unsupervised class segmentation [Code]
• Seeds: superpixels extracted via energy-Driven Sampling [project] [other]

 

Iii. Target DetectionObject Detection:

• A simple object detector with boosting [project]
• INRIA object detection and localization toolkit [1] [project]
• Discriminatively trained deformable part models [2] [project]
• Cascade object detection with deformable part models [3] [project]
• Poselet [4] [project]
• Implicit shape model [5] [project]
• Viola and Jones's Face Detection [6] [project]
• Bayesian modelling of dyanmic scenes for Object Detection [Paper] [Code]
• Hand detection using multiple proposals [project]
• Color Constancy, intrinsic images, and Shape Estimation [Paper] [Code]
• Discriminatively trained deformable part models [project]
• Gradient Response maps for Real-Time Detection of texture-less objects: linemod [project]
• Image Processing on line [project]
• Robust Optical Flow Estimation [project]
• Where's Waldo: matching people in images of crowds [project]
• Scalable multi-class Object Detection [project]
• Class-specific Hough forests for Object Detection [project]
• Deformed lattice detection in real-world images [project]
• Discriminatively trained deformable part models [project]

 

Iv. significance detectionSaliency Detection:

• Itti, Koch, and niebur 'saliency detection [1] [Matlab code]
• Frequency-tuned salient region detection [2] [project]
• Saliency detection using maximum specified Ric surround [3] [project]
• Attention via Information Maximization [4] [Matlab code]
• Context-aware saliency detection [5] [Matlab code]
• Graph-Based Visual saliency [6] [Matlab code]
• Saliency Detection: a spectral residual approach. [7] [Matlab code]
• Segmenting salient objects from images and videos. [8] [Matlab code]
• Saliency using natural statistics. [9] [Matlab code]
• Discriminant saliency for visual recognition from cluttered scenes. [10] [Code]
• Learning to predict where humans look [11] [project]
• Global contrast based salient region detection [12] [project]
• Bayesian saliency via low and mid level cues [project]
• Top-down visual saliency via joint CRF and dictionary learning [Paper] [Code]
• Saliency Detection: a spectral residual approach [Code]

 

V. Image Classification and clusteringImage Classification, clustering

• Pyramid match [1] [project]
• Spatial pyramid matching [2] [Code]
• Locality-Constrained Linear coding [3] [project] [Matlab code]
• Sparse Coding [4] [project] [Matlab code]
• Texture classification [5] [project]
• Multiple kernels for Image Classification [6] [project]
• Feature combination [7] [project]
• Superparsing [Code]
• Large scale correlation clustering optimization [Matlab code]
• Detecting and sketching the common [project]
• Self-tuning spectral clustering [project] [Code]
• User Defined ed separation of reflections from a single image using a sparsity prior [Paper] [Code]
• Filters for texture classification [project]
• Multiple kernel learning for Image Classification [project]
• SLIC superpixels [project]

 

6. Image CuttingImage matting

• A closed form solution to Natural Image matting [Code]
• Spectral matting [project]
• Learning-based matting [Code]

 

VII. Target TrackingObject Tracking:

• A forest of sensors-tracking adaptive background Mixture Models [project]
• Object Tracking via partial least squares analysis [Paper] [Code]
• Robust object tracking with online multiple instance learning [Paper] [Code]
• Online visual tracking with histograms and articulating blocks [project]
• Incremental Learning for robust visual tracking [project]
• Real-time compressive tracking [project]
• Robust Object Tracking via sparsity-based collaborative model [project]
• Visual tracking via adaptive structural local sparse appearance model [project]
• Online discriminative object tracking with local sparse representation [Paper] [Code]
• Superpixel tracking [project]
• Learning Hierarchical image representation with sparsity, saliency and locality [Paper] [Code]
• Online multiple support instance tracking [Paper] [Code]
• Visual tracking with online multiple instance learning [project]
• Object Detection and Recognition [project]
• Compressive sensing resources [project]
• Robust real-time Visual Tracking Using pixel-wise posteriors [project]
• Tracking-Learning-detection [project] [opentld/C ++ Code]
• The handvu: Vision-based hand gesture interface [project]
• Learning probabilistic non-linear latent variable models for tracking complex activities [project]

 

8,Kinect:

• Kinect toolbox [project]
• Openni [project]
• Zouxy09 csdn blog [Resource]
• Fingertracker finger tracking [Code]

 

IX,3DRelated:

• 3D reconstruction of a moving object [Paper] [Code]
• Shape from shading using linear approximation [Code]
• Combining shape from shading and stereo depth maps [project] [Code]
• Shape from shading: A Survey [Paper] [Code]
• A Spatio-Temporal descriptor based on 3D gradients (hog3d) [project] [Code]
• Multi-camera scene reconstruction via Graph Cuts [Paper] [Code]
• A Fast Marching formulation of perspective shape from shading under frontal Illumination [Paper] [Code]
• Reconstruction: 3D shape, illumination, shading, reflectance, texture [project]
• Monocular tracking of 3D human motion with a coordinated mixture of factor analyzers [Code]
• Learning 3-D scene structure from a single still image [project]

 

10. machine learning algorithms:

• MATLAB class for computing approximate nearest nieghbor (ANN) [MATLAB class providing interface toann library]
• Random Sampling [Code]
• Probabilistic Latent Semantic Analysis (plsa) [Code]
• Fastann and fastcluster for approximate K-means (AKM) [project]
• Fast intersection/additive kernel SVMs [project]
• SVM [Code]
• Ensemble Learning [project]
• Deep Learning [net]
• Deep Learning Methods for vision [project]
• Neural Network for recognition of Handwritten digits [project]
• Training a deep autoencoder or a classifier on mnist digits [project]
• The mnist database of Handwritten digits [project]
• Ersatz: Deep Neural Networks in the cloud [project]
• Deep Learning [project]
• Sparselm: sparse Levenberg-Marquardt Nonlinear Least Squares in C/C ++ [project]
• WEKA 3: data mining software in Java [project]
• Invited talk "a tutorial on Deep Learning" by dr. Kai Yu (Yu Kai) [Video]
• CNN-convolutional neural network class [MATLAB tool]
• Yann lecun's publications [wedsite]
• LeNet-5, convolutional neural networks [project]
• Training a deep autoencoder or a classifier on mnist digits [project]
• Deep Learning Daniel Geoffrey E. Hinton's homepage [website]
• Multiple instance Logistic Discriminant-based metric Learning (mildml) and Logistic Discriminant-based metric Learning (ldml) [Code]
• Sparse Coding simulation software [project]
• Visual Recognition and machine learning summer school [software]

 

11. Target and behavior RecognitionObject, action recognition:

• Action recognition by dense trajectories [project] [Code]
• Action Recognition Using a distributed representation of Pose and appearance [project]
• Recognition Using regions [Paper] [Code]
• 2d articulated human pose estimation [project]
• Fast human pose estimation using appearance and motion via multi-dimen1_boosting regression [Paper] [Code]
• Estimating human pose from occluded images [Paper] [Code]
• Quasi-dense Wide Baseline matching [project]
• Chalearn gesture challenge: Principal motion: PCA-Based Reconstruction of motion histograms [project]
• Real time head pose estimation with random regression forests [project]
• 2d action recognition serves 3D Human pose estimation [project]
• A Hough transform-based voting Framework for Action recognition [project]
• Motion interchange patterns for action recognition in unconstrained videos [project]
• 2d articulated human pose estimation software [project]
• Learning and detecting Shape Models [Code]
• Progressive search space allocation ction for human pose estimation [project]
• Learning non-rigid 3D Shape from 2D motion [project]

 

12. Image Processing:

• Distance transforms of sampled functions [project]
• The computer vision homepage [project]
• Efficient appearance distances between Windows [Code]
• Image Encryption ation algorithm [Code]
• Motion magnification motion amplification [project]
• Bilateral Filtering for gray and color images bilateral filter [project]
• A Fast approximation of the bilateral filter using a signal processing approach [project]

 

13. Some practical tools:

• Egt: a toolbox for Multiple View Geometry and visual servoing [project] [Code]
• A development kit of MATLAB Mex functions for opencv Library [project]
• Fast Artificial Neural Network Library [project]

 

14. Manual and fingertip detection and recognition:

• Finger-detection-and-gesture-recognition [Code]
• Hand and finger Detection Using javacv [project]
• Hand and fingers detection [Code]

 

15. Scenario explanation:

• Nonparametric scene parsing via label transfer [project]

 

16. Optical FlowOptical Flow:

• High Accuracy Optical Flow Using a theory for warping [project]
• Dense trajectories video description [project]
• Sift flow: dense correspon%%ss scenes and Its Applications [project]
• Klt: an implementation of the kanade-Lucas-Tomasi feature tracker [project]
• Tracking cars using optical flow [project]
• Secrets of Optical Flow Estimation and their principles [project]
• Implmentation of the Black and Anandan dense optical flow method [project]
• Optical Flow Computation [project]
• Beyond pixels: grouping ing new representations and applications for motion analysis [project]
• A database and evaluation methodology for optical flow [project]
• Optical Flow relative [project]
• Robust Optical Flow Estimation [project]
• Optical Flow [project]

 

17. Image RetrievalImage Retrieval:

• Semi-supervised distance metric learning for collaborative image retrieval [Paper] [Code]

 

18. Markov Random FieldMarkov Random Fields:

• Markov Random Fields for Super-resolution [project]
• A Comparative Study of Energy Minimization methods for Markov Random Fields with smoothness-based priors [project]

 

19. Motion DetectionMotion Detection:

• Moving Object extraction, using models or analysis of regions [project]
• Background Subtraction: Experiments and improvements for vibe [project]
• A self-organizing approach to background subtraction for visual surveillance applications [project]
• Changedetection.net: A New Change Detection benchmark dataset [project]
• Vibe-a powerful technique for background detection and subtraction in video sequences [project]
• Background Subtraction program [project]
• Motion Detection Algorithms [project]
• Stuttgart artificial Background Subtraction dataset [project]
• Object detection, motion estimation, and tracking [project]

2013 Computer Vision code collection