This method of “inverse graphics”, deducing the likeliest 3D model from 2D visual information, incorporates previous machine learning research and readjusts probabilities based on available training data. The researchers believe that this method of probabilistic programming will alleviate the re-writing of code when tackling different computer-vision problems. Read the full paper at http://goo.gl/WKkXZ2
Here's the post on roll 20, pm me for details
- State University of New York at Stony Brook1991
I’m Mark Essel, recovering systems engineer that’s taken on multiple roles: cofounder, web dev, startup R&D, backend video engineer, and graphics dev, and finally principal engineer
- Vimeo, LLCPrincipal Engineer, 2014 - present
- Fast SocietyChief of Research and Development, 2012 - 2014acquired by Vimeo in March 2014
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