Computer Vision is a concern with theory and technology for building artificial systems that obtain information. This Vision is an inter disciplinary field of artificial intelligence.
Computer Vision is an interdisciplinary scientific field that deals with how computers can be made to gain a high level of understanding from digital images and videos.
Image Processing and Computer Vision work together in many cases. Deep learning adds a huge boost to the already rapidly developing field of computer vision.
Computer Vision is a field of Artificial Intelligence that trains computers to interpret and understand the vision world.
How does Computer Vision work?.
Programming Computer Vision with Python.
Jan Erik Solem is researcher and entrepreneur. He is an author for Python enthusiasts. His blog www.janeriksolem.net is useful to learn about computer vision and Python. His books are useful for professionals and students. He is an applied mathematician and assistant professor. This is one of useful book for learning computer vision with python.
Computer Vision – A Modern Approach.
Computer Vision: A Modern Approach by David A. Forsyth and Jean Ponce is useful to learn the complete treatment of modern computer vision methods. Students are able to build useful applications. Read this book to learn about vision methods of computers.
Computer Vision Algorithms and Applications.
Computer Vision Algorithms and Applications by Richard Szeliski explores the variety of techniques commonly used to analyze and interpret images. Challenging real world applications, medical imaging, image editing, vision problems, testing algorithms, linear algebra, numerical techniques are described well in this book. Read this book to learn these topics and improve your knowledge.
These three books are useful to get information and knowledge about computer vision.
