Documentation

Tutorials (v3.1.0)

Introduction

• Installation in Linux

• Using OpenCV with gcc and CMake

• Load and Display an Image

• Load, Modify, and Save an Image

The Core Functionality (core module)

• Mat - The Basic Image Container

• How to scan images, lookup tables and time measurement

• Basic Drawing

• Mask operations on matrices (a.k.a. Kernel operations)

• File Input and Output using XML and YAML files (cv::FileStorage data structure)

Image Processing (imgproc module)

• Smoothing Images (cv::GaussianBlur, cv::bilateralFilter)

• Image Pyramids

• Sobel Derivatives

• Hough Circle Transform

• Image Moments

Camera calibration and 3D reconstruction (calib3d module)

• Camera calibration with square chessboard
• Camera calibration With OpenCV

  • Determine the distortion matrix

  • Determine the camera matrix

  • Take input from Camera, Video and Image file list

  • Read configuration from XML/YAML file

  • Save the results into XML/YAML file

  • Calculate re-projection error

• Real time pose estimation of a textured object

  • Read 3D textured object model and object mesh.

  • Take input from Camera or Video.

  • Extract ORB features and descriptors from the scene.

  • Match scene descriptors with model descriptors using Flann matcher.

  • Pose estimation using PnP + Ransac.

  • Linear Kalman Filter for bad poses rejection.

2D Features framework (feature2d module)

• Harris corner detector
• Creating your own corner detector
• Feature Detection
• Feature Description

  • Feature Matching with FLANN
• Features2D + Homography to find a known object (transformation estimation)
• AKAZE and ORB planar tracking

Tutorials for contrib modules

• ArUco marker detection (aruco module)
• Line Features Tutorial
• Structure From Motion