Pose Estimation in computer vision involves identifying and accurately determining the position and orientation of objects or human bodies within images or videos. This process uses algorithms to detect keypoints or landmarks, enabling applications like human motion analysis, gesture recognition, and augmented reality. It is essential for understanding spatial relationships and interactions in visual data.