Pose Prediction

Pose prediction involves determining the position and orientation of an object or person in space, often from images or videos. Using advanced algorithms, it analyzes visual data to estimate how body parts or objects are aligned and situated. This technique is key in applications like augmented reality, motion analysis, and robotics, helping systems understand spatial relationships and movements accurately. Essentially, pose prediction translates visual cues into a detailed map of position and posture, enabling machines to interpret and respond to the physical world in a more human-like manner.