This course explains what computer vision is, as well as its mission of making computers see and interpret the world as humans do. Learners are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks.
This is the first course in the Computer Vision series that lays the groundwork necessary for designing sophisticated vision applications.
This online course is available on the Coursera platform.
Course Duration: Approximately 4 weeks (4-5 hours of effort per week)
For either a CEU or PDH, a learner must complete a request form. The process entails providing proof of the learner’s Verified Certificate (VC) issued by Coursera. A VC indicates a learner has completed a course with a passing score (he/she does not receive a letter grade). CEUs and PDHs are eligible for those earning a certificate on November 11, 2019 or later.
“The only thing worse than training your employees and having them leave is not training them and having them stay.”
— Henry Ford, founder, Ford Motor Company