The Moon Camera and the Corner Camera | Bill Freeman | TEDxMIT Salon скачать в хорошем качестве

The Moon Camera and the Corner Camera | Bill Freeman | TEDxMIT Salon

The Moon Camera--taking an Earth selfie, using the moon--is a problem I've worked on for 15 years. Without success. I have a promising method, but the resolution requirements are too high. But it turns out that the promising method does work down on the Earth, to allow you to see around corners using just a conventional camera. We show that you can whether a child, hidden behind a building corner, may be running toward the street. This would allow your computer-assisted car to slow down in advance. Academic, Astronomy, Curiosity, Earth, Photography, Science, Vision I'm a professor at MIT and also lead a research group at Google. Here's text from my web page bio, but the single sentence above is sufficient: William T. Freeman is the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science (EECS) at MIT, and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) there. He was the Associate Department Head of EECS from 2011 - 2014. Since 2015, he has also been a research manager in Google Research in Cambridge, MA. His current research interests include mid-level vision and computational photography. Previous research topics include steerable filters and pyramids, orientation histograms, the generic viewpoint assumption, color constancy, computer vision for computer games, motion magnification, and belief propagation in networks with loops. He received outstanding paper awards at computer vision or machine learning conferences in 1997, 2006, 2009, 2012 and 2019, and test-of-time awards for papers from 1990, 1995, 2002 and 2005. He shared the 2020 Breakthrough Prize in Physics for a consulting role with the Event Horizon Telescope collaboration, which reconstructed the first image of a black hole. He is a member of the National Academy of Engineering, and a Fellow of the IEEE, ACM, and AAAI. In 2019, he received the PAMI Distinguished Researcher Award, the highest award in computer vision." This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx