The Birth of Computer Vision
WATCH: James Dobson joins several writers in conversation about automated vision. Posted by the Center for Digital Narrative, University of Bergen.
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. The Birth of Computer Vision uncovers these histories and finds connections between the algorithms, people, and politics at the core of automating perception today.
"A key technology of our time, computer vision is embedded in both our professional and everyday lives in numerous ways—from helping doctors diagnose diseases to enabling organizations to obtain accurate information about remote natural disaster zones and refugee camps to allowing billions of people to capture better images with their phone cameras. Focusing on the United States from the 1950s to the 1970s, James E. Dobson offers the first book tracing the development of computer vision. Combining historical research and theoretical analysis, The Birth of Computer Vision is an invaluable contribution to the fields of media theory, software studies, and algorithm studies."
—Lev Manovich, author of Cultural Analytics
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.
James E. Dobson reveals how new forms of computerized surveillance systems, high-tech policing, and automated decision-making systems have become entangled, functioning together as a new technological apparatus of social control. Tracing the development of a series of important computer-vision algorithms, he uncovers the ideas, worrisome military origins, and lingering goals reproduced within the code and the products based on it, examining how they became linked to one another and repurposed for domestic and commercial uses. Dobson includes analysis of the Shakey Project, which produced the first semi-autonomous robot, and the impact of student protest in the early 1970s at Stanford University, as well as recovering the computer vision–related aspects of Frank Rosenblatt’s Perceptron as the crucial link between machine learning and computer vision.
Motivated by the ongoing use of these major algorithms and methods, The Birth of Computer Vision chronicles the foundations of computer vision and artificial intelligence, its major transformations, and the questionable legacy of its origins.
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A key technology of our time, computer vision is embedded in both our professional and everyday lives in numerous ways—from helping doctors diagnose diseases to enabling organizations to obtain accurate information about remote natural disaster zones and refugee camps to allowing billions of people to capture better images with their phone cameras. Focusing on the United States from the 1950s to the 1970s, James E. Dobson offers the first book tracing the development of computer vision. Combining historical research and theoretical analysis, The Birth of Computer Vision is an invaluable contribution to the fields of media theory, software studies, and algorithm studies.
Lev Manovich, author of Cultural Analytics
In this timely and eye-opening book, James E. Dobson provides a penetrating analysis of the opportunities and challenges of facial recognition and other computer vision technology by excavating its formation from the sediment of history, tracing its connections to the military industrial complex of the Cold War, and critically examining the notable successes and failures of embryonic research efforts and prototypes.
David J. Gunkel, author of Deconstruction
