Image Acquisition 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 that has many applications in computer vision, digital imaging, social media and media production. It covers the following topics in detail: Light Reflection, Camera Structure, Camera Lens, Sensor Technologies, Image Digitization, Image Corrections, Image File Formats, Scanners, Image noise.