Book Image

Mastering OpenCV 4 - Third Edition

By : Roy Shilkrot, David Millán Escrivá
Book Image

Mastering OpenCV 4 - Third Edition

By: Roy Shilkrot, David Millán Escrivá

Overview of this book

Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects. By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.
Table of Contents (12 chapters)

Panoramic image stitching methods

Panoramas are essentially multiple images fused together into a single image. The process of panorama creation from multiple images involves many steps; some are common to other computer vision tasks, such as the following:

  • Extracting 2D features
  • Matching pairs of images based on their features
  • Transforming or warping images to a communal frame
  • Using (blending) the seams between the images for the pleasing continuous effect of a larger image

Some of these basic operations are also commonplace in Structure-from-Motion (SfM), 3D reconstruction , visual odometry, and simultaneous localization and mapping (SLAM). We've already discussed some of these in Chapter 2, Explore Structure from Motion with the SfM Module and Chapter 7, Android Camera Calibration and AR Using the ArUco Module. The following is a rough image of the panorama creation...