ICP (Iterative Closest Point)

Iterative Closest Point (ICP) is a technique used in computer vision and robotics to align two sets of data, often in the form of 3D shapes or point clouds. It works by repeatedly finding matching points between the two shapes and adjusting their positions to make them fit better. Think of it like trying to perfectly stack two puzzle pieces: you identify where they overlap, make slight adjustments, and repeat the process until they align as closely as possible. ICP is widely used in applications like 3D modeling, object recognition, and robotic navigation.