Computer Vision

A curated list of Computer Vision resources

Books - Computer Vision

  1. 1 Computer Vision Models 75
  2. 2 Algorithms and Applications, 2nd ed. 46
  3. 3 Computer Vision 15
  4. 4 Multiple View Geometry in Computer Vision<BR>Second Edition 12
  5. 5 Computer Vision 10
  6. 6 Vision Science 7
  7. 7 Synthesis Lectures on Artificial Intellegence 8
  8. 8 Computer Vision for Visual Effects 5

Books - Machine Learning

  1. 1 Christopher Bishop at Microsoft Research 28
  2. 2 Neural Networks for Pattern Recognition 15
  3. 3 Probabilistic Graphical Models 12
  4. 4 Pattern Classification 4
  5. 5 Machine Learning 9
  6. 6 Gaussian Processes for Machine Learning 11
  7. 7 Online Course (MOOC) 17
  8. 8 Neural networks and deep learning 21

Books - OpenCV Programming

  1. 1 Learning OpenCV 35
  2. 2 Learn Computer Vision in a Single Weekend 42
  3. 3 OpenCV Essentials 12
  4. 4 Mastering OpenCV Android Application Programming 3

Courses - Computer Vision

  1. 1 CSCI 512/EENG 512 Computer Vision 56
  2. 2 Visual Object and Activity Recognition 32
  3. 3 Computer Vision (UW CSE 455) 22
  4. 4 UT-Austin CS395T Visual Recognition 14
  5. 5 Language and Vision 8
  6. 6 Convolutional Neural Networks for VisualR 15
  7. 7 Computer Vision 18
  8. 8 Computer Vision (Spring 2011) 13

Courses - Computational Photography

  1. 1 Image Manipulation and Computational Photography 14
  2. 2 Computational Photography 12
  3. 3 Computational Photography 6
  4. 4 Computational Photography and Image Manipulation 3
  5. 5 Digital & Computational Photography 3
  6. 6 Computational Camera and Photography 5
  7. 7 Introduction to Visual Computing 2
  8. 8 Computational Photography 4

Fundamentals

  1. 1 Linear Algebra and Its Applications, 4th Edition 18

Conference papers on the Web

  1. 1 CVPapers 17
  2. 2 Resource for Computer Graphics 6
  3. 3 NIPS Proceedings 1
  4. 4 Page Redirection 3
  5. 5 Keith Price Bibliography 1
  6. 6 Conference Calendar for Computer Vision 4

Tito & Talks - Computer Vision

  1. 1 Computervisiontalks.com 11
  2. 2 The Three R's of Computer Vision 9
  3. 3 Applications to Machine Vision 1
  4. 4 The Future of Image Search 5
  5. 5 Should I do a PhD in Computer Vision? 20
  6. 6 Computer Vision (Schedule) 2

Courses - Machine & Statistical Learning

  1. 1 Coursera 12
  2. 2 STANFORD COURSES ON THE LAGUNITA LEARNING PLATFORM 11
  3. 3 Statistical Learning Theory and Applications 11
  4. 4 Statistical Learning 3
  5. 5 Practical Machine Learning 5
  6. 6 Course on Information Theory 7
  7. 7 Methods for Applied Statistics 2
  8. 8 Andrew Zisserman, University of Oxford 7

Computational Photography

  1. 1 Reflections on Image-Based Modeling and Rendering 6
  2. 2 Photographing Events over Time 1
  3. 3 Old and New algorithm for Blind Deconvolution 3
  4. 4 A Tour of Modern "Image Processing" 2
  5. 5 Topics in image and video processing 2
  6. 6 Computational Photography 4
  7. 7 Revealing the invisible 0
  8. 8 Overview of Computer Vision 3

3D Computer Vision

  1. 1 Past, Present, and Future 14
  2. 2 Reconstructing the World from Photos on the Internet 10

Courses - Optimization

  1. 1 Convex Optimization I 7
  2. 2 Convex Optimization II 2
  3. 3 STANFORD COURSES ON THE LAGUNITA LEARNING PLATFORM 5
  4. 4 Optimization at MIT 1
  5. 5 Convex Optimization 5

Recent Conference Talks

  1. 1 CVPR 2015 Webpage 10
  2. 2 13th European Conference on Computer 0
  3. 3 Google TechTalks 2
  4. 4 Google TechTalks 1
  5. 5 Google TechTalks 0
  6. 6 Google TechTalks 0
  7. 7 12th European Conference on Computer 0
  8. 8 ICML 2012 Oral Talks 0

Learning and Vision

  1. 1 Where machine vision needs help from machine learning 4
  2. 2 Learning in Computer Vision 6
  3. 3 Learning and Inference in Low-Level Vision 1

Survey Papers

  1. 1 Survey References 5
  2. 2 Foundations and Trends® in Computer 2
  3. 3 Computer Vision 4

Optimization

  1. 1 Optimization Algorithms in Machine 10
  2. 2 Convex Optimization 6
  3. 3 Continuous optimization in computer 4
  4. 4 Beyond stochastic gradient descent for 4
  5. 5 Variational Methods for Computer Vision 1

Graphical Models

  1. 1 Graphical Models for Computer Vision 14
  2. 2 VideoLectures.NET 0
  3. 3 Machine Learning, Probability 2
  4. 4 Graphical Models and Applications 4

Internet Vision

  1. 1 Meet 2011 TR35 Winner Noah Snavely 0
  2. 2 Noah Snavely, Significant New Researcher Award 0
  3. 3 A Trillion Photos 3

General Purpose Computer Vision Library

  1. 1 OpenCV 4
  2. 2 mexopencv 3
  3. 3 SimpleCV 6
  4. 4 Open source Python module for computer vision 3
  5. 5 Point Cloud Library 4
  6. 6 Piotr's Matlab Toolbox 0
  7. 7 Computer Vision Toolbox 5
  8. 8 VLFeat 3

Deep Learning

  1. 1 A tutorial on Deep Learning 23
  2. 2 VideoLectures.NET 2
  3. 3 Scaling Up Deep Learning 0
  4. 4 ImageNet Classification with Deep Convolutional Neural Networks 3
  5. 5 The Unreasonable Effectivness Of Deep… 3
  6. 6 Deep Learning for Computer Vision (Rob Fergus) 12
  7. 7 High-dimensional learning with deep network contractions 0
  8. 8 Deep Learning, Feature Learning (Schedule) 3

Object Recognition

  1. 1 StAR Lecture Series 13
  2. 2 Generative Models for Visual Objects 14

Low-level - Optical Flow

  1. 1 Middleburg Optical Flow Evaluation 0
  2. 2 MPI Sintel Dataset 0
  3. 3 The KITTI Vision Benchmark Suite 1
  4. 4 Universität Heidelberg HCI - Challenging 0
  5. 5 Optical Flow Matlab/C++ Code 0
  6. 6 C++/MatLab Optical Flow 0
  7. 7 Parallel Implementation 1

Multiple-view Computer Vision

  1. 1 MATLAB Functions for Multiple View 3
  2. 2 Peter's Functions for Computer Vision 6
  3. 3 The OpenGV library 5
  4. 4 Minimal Problems in Computer Vision 1
  5. 5 Graphics, Capture and Massively Parallel Computing 5
  6. 6 A Visual Structure from Motion System 1
  7. 7 Structure from Motion (SfM) 2
  8. 8 "open Multiple View Geometry" 2

Machine Learning

  1. 1 Graphical Models for Computer Vision 6
  2. 2 Introduction To Bayesian Inference 1
  3. 3 Support Vector Machines 1
  4. 4 Bayesian or Frequentist, Which Are You? 0

Low-level Vision - Super Resolution

  1. 1 Super-Resolution Code 5
  2. 2 Markov Random Fields for Super-Resolution 3
  3. 3 Max-Planck-Institut für Informatik 1
  4. 4 Single-Image Super Resolution via a Statistical Model 2
  5. 5 ScSR 1
  6. 6 Google Sites 2
  7. 7 Learning a Deep Convolutional Network for Image Super-Resolution 3
  8. 8 Adjusted Anchored Neighborhood Regression for Fast Super-Resolution 3

Non-Blind Deconvolution

  1. 1 Spatially variant non-blind deconvolution 2
  2. 2 Handling Outliers in Non-blind Image Deconvolution 3
  3. 3 Dilip Krishnan 4
  4. 4 From Learning Models of Natural Image Patches to Whole Image Restoration 2
  5. 5 Deep Deconvolution 0
  6. 6 A machine learning approach for non-blind 1

External Resource Links

  1. 1 Google Accounts 8
  2. 2 Computer Vision Algorithm Implementations 9
  3. 3 Xin Li of WVU 1
  4. 4 Computer Vision Source Code 4

Image Completion

  1. 1 Registry 3
  2. 2 Image Completion 1
  3. 3 Combining Inconsistent Images using Patch-based Synthesis 0
  4. 4 Image Completion using Planar Structure 0

Non-uniform Deblurring

  1. 1 Non-uniform Deblurring for Shaken Images 2
  2. 2 Image Deblurring using motion Density 1
  3. 3 Image Deblurring using Inertial 0
  4. 4 Fast Removal of Non-uniform Camera Shake 2

Feature Detection and Extraction

  1. 1 VLFeat 4
  2. 2 Keypoint detector 10
  3. 3 ASL Binary Robust Invariant Scalable Keypoints 6
  4. 4 Speeded Up Robust Features 5
  5. 5 Alexandre Alahi 3
  6. 6 kaze 6
  7. 7 Local Binary Pattern 3

Edge-preserving image processing

  1. 1 Fast Bilateral Filter 10
  2. 2 O(1) Bilateral Filter 9
  3. 3 ECCV 2012 (Yang, Qing-Xiong) 4
  4. 4 Rolling Guidance Filter 4
  5. 5 Structure Extraction from Texture via Relative Total Variation 3
  6. 6 Image Smoothing via L0 Gradient Minimization 5
  7. 7 Domain Transform for Edge-Aware Image 4
  8. 8 Adaptive Manifolds 5

Alpha Matting

  1. 1 alpha Matting Evaluation Website 2
  2. 2 Closed-form image matting 1
  3. 3 Spectral Matting 0
  4. 4 Learning Based Digital Matting 0
  5. 5 Improving Image Matting using Comprehensive Sampling Sets 0

High Dynamic Range Imaging

  1. 1 HDR Toolbox 6

Interactive Image Segmentation

  1. 1 Leo Grady 4
  2. 2 Welcome to Xue Bai's homepage 6
  3. 3 Microsoft Research 3
  4. 4 PowerWatershed source code 2
  5. 5 Adobe Research 2
  6. 6 Olivier Duchenne's site 1

Intrinsic Images

  1. 1 Recovering Intrinsic Images 5
  2. 2 Intrinsic Images by Clustering 3
  3. 3 Ground-truth dataset 0
  4. 4 Intrinsic Images in the Wild 1
  5. 5 Colour group 1

Low-level vision - Stereo vision

  1. 1 Middleburg Stereo Vision 1
  2. 2 The KITTI Vision Benchmark Suite 0
  3. 3 Andreas Geiger 0
  4. 4 Ground Truth Stixel Dataset 0

Blind Deconvolution

  1. 1 Removing camera shake from a single image 2
  2. 2 High-Quality Motion Deblurring 1
  3. 3 Robust Motion Deblurring 1
  4. 4 Blur kernel estimation using the radon transform 0
  5. 5 Fast Motion Deblurring 0
  6. 6 Dilip Krishnan 1
  7. 7 Blur-Kernel Estimation from Spectral Irregularities 0
  8. 8 Efficient marginal likelihood optimization in blind deconvolution 1

Video Segmentation

  1. 1 Video Segmentation with Superpixels 10
  2. 2 Video Segmentation 8
  3. 3 a hierarchical variational approach for turning point trajectories into dense regions 2
  4. 4 Jason J. Corso 3

Image Pyramid

  1. 1 The Steerable Pyramid 4
  2. 2 Curvelet Home 4

Camera Calibration

  1. 1 Camera Calibration Toolbox for Matlab 1
  2. 2 Camera calibration With OpenCV 6
  3. 3 Multiple Camera Calibration Toolbox 7

Image Retargeting

  1. 1 A Benchmark for Image Retargeting 6

Contour Detection & Image Segmentation

  1. 1 EDISON Code 9
  2. 2 Image Segmentation 5
  3. 3 software 2
  4. 4 Background & Algorithm 6
  5. 5 Contour Detection and Image Segmentation 7
  6. 6 Download Structured Edge Detection Toolbox from Official Microsoft Download Center 2
  7. 7 Crisp Boundary Detection Using Pointwise Mutual Information 2
  8. 8 Image and Visual Representation Lab ‐ EPFL 6

SLAM community

  1. 1 OpenSLAM.org 6
  2. 2 The KITTI Vision Benchmark Suite 1

Tracking/Odometry

  1. 1 LIBVISO2: C++ Library for Visual Odometry 2 12
  2. 2 Parallel Tracking and Mapping for Small AR Workspaces (PTAM) 3
  3. 3 Kfusion 2
  4. 4 Kinfu Remake 5
  5. 5 InfiniTAM v2 4
  6. 6 Voxel Hashing 2
  7. 7 PAMELA project webpage 6
  8. 8 SVO 2

Localization & Mapping

  1. 1 RatSLAM 5
  2. 2 LSD Slam 2
  3. 3 ORB Slam 3

Graph Optimization

  1. 1 The Borg Lab 4
  2. 2 G2O 4

Loop Closure

  1. 1 Download FabMap 1
  2. 2 University of Zaragoza 2

General purpose nearest neighbor search

  1. 1 Approximate Nearest Neighbor Library 0
  2. 2 Fast Library for Approximate Nearest Neighbors 1
  3. 3 Introduction 1

Single-view Spatial Understanding

  1. 1 Geometric Context 1
  2. 2 Recovering Spatial Layout 0
  3. 3 Geometric Reasoning 1
  4. 4 RGBD2Full3D 3

Object Detection

  1. 1 INRIA Object Detection and Localization Toolkit 2
  2. 2 rbg's home page 3
  3. 3 VOC-DPM 3
  4. 4 Histograms of Sparse Codes for Object Detection 5
  5. 5 R-CNN 4
  6. 6 SPP_net 2
  7. 7 Binarized Normed Gradients for Objectness Estimation 1
  8. 8 ReInspect 2

Optimization

  1. 1 Ceres Solver 4
  2. 2 NLopt 3
  3. 3 Heidelberg Collaboratory for Image Processing (HCI) 1
  4. 4 GTSAM 0

Nearest Neighbor Field Estimation

  1. 1 PatchMatch 4
  2. 2 The Generalized PatchMatch 1
  3. 3 Coherence Sensitive Hashing 1
  4. 4 PMBP: PatchMatch Belief Propagation 2
  5. 5 TreeCANN 2

Visual Tracking

  1. 1 Visual Tracker Benchmark 6
  2. 2 VOT Challenge 3
  3. 3 Kanade-Lucas-Tomasi Feature Tracker 5
  4. 4 Online boosting trackers 3
  5. 5 Robust Tracking via Multiple Experts 1
  6. 6 Page Redirection 2
  7. 7 Transfer Learning Based Visual Tracking 2
  8. 8 Extended Lucas-Kanade Tracking 3

Deep Learning

  1. 1 Awesome deep vision 18

Machine Learning

  1. 1 Awesome machine learning 15
  2. 2 Bob: a free signal processing and machine learning toolbox for researchers 4
  3. 3 LIBSVM - A Library for Support Vector Machines 4

Image Captioning

  1. 1 Neural Talk 3

Material Recognition

  1. 1 OpenSurfaces 1
  2. 2 Material Recognition 1
  3. 3 A Richly Annotated Catalog of Surface 0

Change Detection

  1. 1 ChangeDetection 7

External Dataset Link Collection

  1. 1 CV Datasets on the web 1
  2. 2 Who is the best at X ? 2
  3. 3 Yet Another Computer Vision Index To Datasets 1
  4. 4 Your gateway to the computer vision world 1
  5. 5 Databases 0
  6. 6 Computer Vision Datasets 1
  7. 7 Dataset Detailed References 0

Saliency Detection - Visual Surveillance

  1. 1 VIRAT Video Data 1
  2. 2 CAM² 2

Visual Recognition - Object Detection

  1. 1 The PASCAL Visual Object Classes 5
  2. 2 ImageNet Object Detection Challenge 6
  3. 3 COCO 4

Saliency Detection - Visual Tracking

  1. 1 Visual Tracker Benchmark 2
  2. 2 Visual Tracker Benchmark 0
  3. 3 VOT Challenge 2
  4. 4 Princeton Tracking Benchmark 0

Visual Recognition - Scene Recognition

  1. 1 http://groups.csail.mit.edu/vision/SUN/ 1
  2. 2 Places Database for Scene Recognition 1

Action Recognition - Image Deblurring

  1. 1 Sun dataset 3
  2. 2 Levin dataset 2

Visual Recognition - Image Classification

  1. 1 The PASCAL Visual Object Classes 3
  2. 2 ImageNet Large Scale Visual Recognition Challenge 4

Writing

  1. 1 Write Good Papers 7
  2. 2 Notes on writing 4
  3. 3 How To Write A Bad Article 4
  4. 4 How to write a good CVPR submission 4
  5. 5 - YouTube 4
  6. 6 How to write a SIGGRAPH paper 3
  7. 7 Writing Research Papers 4
  8. 8 How to Write a Paper for SIGGRAPH 2

Resource Link Collection

  1. 1 Resources for students 5
  2. 2 Advice for Graduate Students 3
  3. 3 Graduate Skills Seminars, 2010-2011 0
  4. 4 Simon Peyton Jones at Microsoft Research 4
  5. 5 Account Suspended 4

Multi-view Object Detection

  1. 1 3D Object Dataset 5
  2. 2 EPFL Car Dataset 0
  3. 3 KTTI Dection Dataset 0
  4. 4 SUN3D Database 0
  5. 5 PASCAL 3D+ 0
  6. 6 NYC3DCars 1

Fine-Grained Visual Recognition

  1. 1 Fine-Grained Challenge 2013 0
  2. 2 Caltech-UCSD Birds 200 0

Research

  1. 1 How to do research 15
  2. 2 You and Your Research 4
  3. 3 Warning Signs of Bogus Progress in Research 10
  4. 4 Seven Warning Signs of Bogus Science 3
  5. 5 Thomas Funkhouser, Computer Graphics Achievement Award 2
  6. 6 File Not Found: Indiana University 6
  7. 7 Recent Advances in Computer Vision 4
  8. 8 How to Come Up with Research Ideas in Computer Vision? 11

Pedestrian Detection

  1. 1 Caltech Pedestrian Detection Benchmark 4
  2. 2 ETHZ Pedestrian Detection 4

Action Recognition - VideoBased

  1. 1 HOLLYWOOD2 Dataset 3
  2. 2 UCF Sports Action Data Set 2

Image Captioning

  1. 1 Flickr 8K 4
  2. 2 Flickr 30K 1
  3. 3 Microsoft COCO 4

Multi-view Reconstruction

  1. 1 Multi-View Stereo Reconstruction 6

Visual Recognition - Semantic Labeling

  1. 1 Stanford background dataset 3
  2. 2 CamVid 3
  3. 3 Barcelona Dataset 3
  4. 4 SIFT Flow Dataset 4

Scene Understanding

  1. 1 SUN RGB-D 5

Time Management

  1. 1 Randy Pausch Lecture 16

Presentation

  1. 1 Giving a Research Talk 2
  2. 2 How To Give A Good Talk 1
  3. 3 Designing conference posters 1

Blogs

  1. 1 LearnOpenCV 9
  2. 2 Tombone's Computer Vision Blog 10
  3. 3 Computer vision for dummies 11
  4. 4 Andrej Karpathy blog 9
  5. 5 AI Shack 9
  6. 6 Computer Vision Talks 7

Songs

  1. 1 The Fundamental Matrix Song 6
  2. 2 The RANSAC Song 5
  3. 3 Machine Learning A Cappella 10

Links

  1. 1 The Computer Vision Industry 13
  2. 2 German Computer Vision Research Groups and Companies 6
  3. 3 Awesome Deep Learning 5
  4. 4 Cat Paper Collection 5
  5. 5 Awesome machine learning 7
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