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Dr Gabriel Brostow
Appointment
  • Reader in Computer Vision
  • Dept of Computer Science
  • Faculty of Engineering Science
Research Summary
My focus is on "Smart Capture" for analysis and synthesis applications. To me, smart capture of visual data (usually video) means having or finding satisfying answers to these questions about a system, whether interactive or fully automated: 
I) Does the system know the intended purpose of the data being captured? 
II) Can the system assess its own accuracy?
III) Does the system compare new inputs to old ones?
I love this field because it allows us to apply our expertise to a variety of tough problems, including film and photo special effects (computational photography), action analysis (of people, animals, and cells), and authoring systems (for architecture, animation, presentations) that make the most of user effort. "Motion reveals everything" used to be my main research mantra, but that has now taken hold sufficiently (obviously NOT just through my efforts!) that it no longer needs championing.
Teaching Summary
Computer Vision
Computational Photography and Capture
Image Processing
Academic Background
2004 MS Master of Science – Computer Science Georgia Institute of Technology
2004 PhD Doctor of Philosophy – Computer Science Georgia Institute of Technology
1996 BS Bachelor of Science – Electrical Engineering University of Texas at Austin
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