Pose estimation is a computer vision technique used to estimate the position and orientation of objects in a scene. It involves determining the 3D pose of an object by analyzing its appearance in an image or video frame. This technology is commonly used in applications such as augmented reality, robotics, and motion tracking. Pose estimation algorithms can be based on various techniques such as deep learning, geometric modeling, or sensor fusion to accurately estimate the pose of objects in different environments.