An introduction to computer vision including sensors and image formation, camera geometry, signal processing, feature detection, tracking and motion estimation, scene understanding, image ...

Artificial Intelligence (AI) technologies are no longer a futuristic concept — they are practical tools that organizations of ...

Vision systems are rapidly becoming ubiquitous, driven by big improvements in image sensors as well as new types of sensors. While the sensor itself often is developed using mature-node silicon, ...

We design, model, and build systems that combine sensors, displays, and novel optical elements to enable new functionality in cameras and displays for applications in medical, astronomical, and ...

Computer vision stands at the intersection of artificial intelligence (AI), machine learning and computer graphics, revolutionizing how machines perceive and interact with the visual world. Computer ...

At the forefront of scientific research, our faculty are dedicated to advancing theoretical understanding and practical applications of AI technologies. RIT's College of Science faculty are actively ...

Computer vision has the ability to transform production and quality control and allow for greater efficiency and flexibility. While computer vision is implemented in the manufacturing and automation ...

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. How do computers see the world? It’s ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...