Cahill's Cross-Camera

Cahill's Cross-Camera is a computer vision technique used to estimate the 3D position and orientation of objects or scenes from multiple camera images taken from different viewpoints. It works by analyzing correspondences—matching points across images—and calculating the camera parameters that best explain their appearance. This method helps in reconstructing 3D structures from 2D images, crucial for applications like robotics, augmented reality, and 3D modeling. It relies on principles of geometry and math to determine how objects are positioned relative to the cameras, enabling accurate spatial understanding from multiple viewpoints.