Multi Hypotheses 3D Human Pose Estimation

"Multi-Hypotheses 3D Human Pose Estimation" is an advanced technique in the field of computer vision aimed at estimating the three-dimensional pose of a human body from monocular or multi-view images and generating multiple possible pose hypotheses to enhance accuracy and robustness. This technology, by integrating multi-view information and deep learning models, can more accurately capture the positions of human joints, achieving high-precision pose reconstruction in complex environments. Its application value is extensive, including virtual reality, motion analysis, human-computer interaction, and other fields, significantly improving system interactivity and user experience.