Hand Object Pose

Hand-object pose estimation is a crucial sub-task in the field of computer vision, aiming to accurately determine the position and orientation of both the hand and the manipulated object in 3D space. The goal of this task is to take an image or video sequence as input and output the six-degree-of-freedom (6D) pose parameters of the hand and object, including 3D translation and rotation. Hand-object pose estimation holds significant value in applications such as virtual reality, augmented reality, robotic manipulation, and human-computer interaction, enabling more natural and precise interactive experiences.