
Автор: James E. Dobson
Издательство: University of Minnesota Press
Год: 2023
Страниц: 215
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
A revealing genealogy of image-recognition techniques and technologies. Today’s most advanced neural networks and sophisticated image-analysis methods come from 1950s and ’60s Cold War culture—and many biases and ways of understanding the world from that era persist along with them. Aerial surveillance and reconnaissance shaped all of the technologies that we now refer to as computer vision, including facial recognition. The Birth of Computer Vision uncovers these histories and finds connections between the algorithms, people, and politics at the core of automating perception today. Computer vision methods are often paired with Machine Learning and Artificial Intelligence algorithms because they were developed and articulated alongside each other. What we now recognize as computer vision applications informed the design of many popular and important Machine Learning algorithms. OpenCV is at present one of the core enabling technologies for computer vision. It is the foundation on which innumerable applications are built.