Object Pose Estimation Lecture
Our dream to make machines sense and perceive (notably see) comes true: nowadays Computer Vision enables diverse applications:
-Autonomous Systems (cars, drones, vessels) Perception,
-Robotics Perception and Control,
-Intelligent Human-Machine Interaction,
-Anthropocentric (human-centered) Computing,
-Smart Cities/Buildings and Assisted living.
Computer Vision, coupled with AI (notably Machine Learning and Deep Neural Network) advances hit the news almost every day.
This lecture overviews object pose estimation that has many applications in Human-Robotic Interaction (HRI), Robotics and Augmented Reality. It covers the following topics in detail: definitions of body pose/posture, 6D object pose estimation through object detection, 3D object pose regression/classification/retrieval.