Building Computer Vision Projects with OpenCV 4 and C++

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 14, Explore Structure from Motion with the SfM ...