pose estimation

This activity is strongly related to object detection and reconstruction. Pose estimation aims at describing the pose of an object or the relative pose among objects depicted in images or video, in terms of location and orientation. In robotics the awareness of the position and orientation of objects in a scene is sometimes referred to as 6D, where the D stands for degrees of freedom in the pose (or 6DoF). This is an important information when a robotic arm needs to grab and move objects. In extended reality applications the estimation of pose is useful to embed or manipulate virtual objects in the real scene.  

Persons and their body parts are particular categories of objects that are interesting to observe in terms of pose for many applications, at the level of a single person or of groups, for example for studies of behaviors that people display during social interactions.

6DoF POSE ESTIMATION

Recent techniques, which are applied for 6D (six degrees of freedom) pose estimation of rigid objects, rely on deep networks. Considering the important applications in robotics and in augmented reality, we are studying innovative solutions on this task starting from RGB images.


some related publication

HEAD POSE ESTIMATION IN MULTI-CAMERA ENVIRONMENT

Simultaneous tracking and head pose estimation enables detailed reporting on attention patterns of people visiting an architectural space or during natural interactions. Main challenges are the very low resolution and non-frontal views of the faces as captured by distant cameras. We developed methods for estimating the head orientation of people from multiple distant cameras integrated with real-time tracking.


selected publications