Stereo and Multiview Imaging 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.
Stereoscopic and multiview imaging will be explored in depth, as they have tremendous applications in many applications, ranging from autonomous car/drone/robot/vessel vision to Surveying Engineering to Medical Imaging. Focus will be mainly on stereoscopic vision, geometry and camera technologies. Epipolar Geometry, Essential and Fundamental matrix, Stereo rectification are detailed. Subsequently, the main methods of disparity estimation and 3D scene reconstruction from stereoscopic video will be described, together with feature search and matching. Multiview imaging will be overviewed.