Speaker Andrew Blake, Bill Freeman, and Noah Snavely
Host Rick Szeliski, Microsoft Research
Affiliation MIT Computer Science and Artificial Intelligence Lab (CSAIL), Microsoft Research, Cornell University
Date recorded 16 July 2013
For several decades, the analysis of visual motion and 3-D scene structure have been central to the study of computer vision. Recent breakthroughs in analyzing and amplifying subtle motions can now give us insights into previously unstudied phenomena such as natural (visual) biometric signals and basic structure physics. Similarly, the ability to create detailed large-scale models either from photo collections found on the web or from cheap depth cameras (Kinect) opens up new applications in visualization and the exploration of 3-D locations.
The speakers in this session of the 2013 Microsoft Research Faculty Summit focus on recent technical breakthroughs, promising applications, and remaining challenges and opportunities in these areas.
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