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Tuesday, January 24 • 1:15pm - 1:40pm
Computer Vision Algorithms Inspired by Compressed Sensing

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Estimating the three-dimensional structure of the world is a vital task in self-driving cars and robotics.  While it can be done using technologies such as LIDAR, these may be prohibitively expensive for many applications.  Computer vision offers the possibility of structure estimation from very cheap optical cameras.  In this talk, we will discuss a mathematical location recovery problem that arises in computer vision.  We will see that ideas from the field of compressed sensing have motivated recent new approaches to this problem.  


Speakers
avatar for Paul Hand

Paul Hand

Assistant Professor of Computational and Applied Mathematics, Rice University
Paul Hand is an Assistant Professor of Computational and Applied Mathematics at Rice University.  His research includes the design and analysis of algorithms for signal recovery problems arising from imaging and vision. He received his B.S in Applied and Computational Mathematics... Read More →


Tuesday January 24, 2017 1:15pm - 1:40pm
BioScience Research Collaborative Building 6500 Main Street, Houston, TX 77030-1402

Attendees (2)