Berthold Klaus Paul Horn (born December 8, 1943) is an American scientist working in the field of artificial intelligence and computer vision.
Horn was elected a member of the National Academy of Engineering in 2002 for contributions to computer vision, including the recovery of three-dimensional geometry from image intensities.
[9] Much of his work in the 1970s and 1980s is focused in this area on the topics of optical flow, photometric stereo as well as closed-form solutions of orientation problems of Photogrammetry.
Through time, his research in this area moved towards structured illumination microscopy (SIM) and high resolution X-ray imaging, including phase reconstruction.
[13] In 2013, Horn presented an algorithm at the IEEE Conference on Intelligent Transport Systems[14] for reducing the problem of phantom traffic jams.
Their research proposed that keeping an equal distance from the car in the front and the back can reduce congestion and decrease commute time.
[18] In the late 2010s Horn research also began including the topic of indoor location by means of Fine-Time-Measurement of Round-Trip-Time of electromagnetic waves at Wifi frequencies as a possible source for turn-by-turn navigation for the visually impaired.
The book was an outgrowth of one of his courses at MIT and covered the recent research in the area of image processing, machine vision and pattern recognition.