
Researchers Develop a Novel Vote-Based Model for More Accurate Hand-Held Object Pose Estimation
Many robotic applications rely on robotic arms or hands to handle different types of objects. Estimating the pose of such hand-held objects is an important yet challenging task in robotics, computer vision and even in augmented reality (AR) applications. A …