Egocentric Pose Estimation

Egocentric Pose Estimation is a key technology in the field of computer vision that aims to accurately estimate human poses and actions by analyzing first-person perspective images or video data. The goal of this technology is to achieve precise pose capture in complex environments, providing critical support for applications such as virtual reality, augmented reality, human-computer interaction, and behavior analysis. By optimizing algorithms and models, Egocentric Pose Estimation can enhance user experience and increase the intelligence level of systems.