Mastering Computer Vision with TensorFlow 2.x

Image matching using OpenCV

Image matching is a technique that matches two different images to find common features. Image matching techniques have many practical applications, such as matching fingerprints, matching your carpet color with your floor or wall color, matching photographs to find two images of the same person, or comparing manufacturing defects to group them into similar categories for faster analysis. This section provides a high-level overview of the image matching techniques available in OpenCV. Two commonly used methods are described here: BruteForce (BFMatcher) and Fast Library for Approximate Nearest Neighbors (FLANN). Later on in this book, we will also discuss other types of matching techniques, such as histogram matching ...