The ORB Detector project implements the ORB (Oriented FAST and Rotated BRIEF) feature detection algorithm, which is commonly used in computer vision for identifying and describing keypoints in images.

Convolutional Neural Networks (CNNs) are the backbone of modern image recognition. The key operation is 2D convolution: sliding a small filter (kernel) over an input image and computing weighted sums.