UTCS Colloquia - Yasutaka Furukawa, Faculty Candidate, Google, Inc., "Reconstruct and Visualize the World: From Academic Research to Product Deployment" GDC 2.216

Contact Name: 
Kate Callard
GDC Auditorium
Apr 25, 2013 11:00am - 12:00pm

Signup Schedule: http://apps.cs.utexas.edu/talkschedules/cgi/list_events.cgi

Talk Audience: UTCS Faculty, Grads, Undergrads, Other Interested Parties

Host:  Kristen Grauman

Talk Abstract: Automated 3D reconstruction and visualization techniques from images, a field known as 3D photography or 3D computer vision, have gone through a revolution in the last decade. With state-of-the-art techniques, one can now download millions of images from Internet by typing a keyword, identify clusters of images observing the same scenes, and reconstruct detailed 3D models fully automatically. The advent of high quality consumer-grade depth sensors, such as Microsoft Kinect Camera, is also an exciting new element in the field with much potential. In addition to being an active research topic in Computer Vision and Computer Graphics, 3D photography techniques have been extensively deployed as real products in industry, and have been used in a variety of other fields such as archaeology and civil engineering.

In this talk, I will present a variety of 3D reconstruction and visualization techniques, ranging from small-scale object reconstruction in a lab environment, city-scale outdoor scene reconstruction from millions of images, to indoor scene reconstruction of entire buildings from laser range sensors, where the last two are probably the largest reconstruction efforts in human history for outdoors and indoors, respectively. I will also talk about several Google Maps products, which I worked on, to illustrate how state-of-the-art research techniques are deployed in massive scale for real products.

Speaker Bio: Yasutaka Furukawa is a software engineer and researcher at Google. His research is in automated 3D reconstruction and visualization techniques from images. His multi-view stereo (MVS) algorithm has been recognized as the best 3D reconstruction algorithm from calibrated photographs based on the quantitative evaluation conducted by Computer Vision researchers. The MVS software has been used at numerous academic and industrial settings, including several visual effect companies, Industrial Light and Magic and Weta digital, for real film-production purposes, and also at Google. More recently, he develops and deploys state-of-the-art computer vision and graphics techniques into real products at Google. He is also a pioneer in the automated 3D reconstruction and visualization techniques for indoor scenes, where one of his papers won the Best Student Paper Award at ECCV 2012. Before joining Google, Dr. Furukawa was a research associate at the University of Washington. He earned his Ph.D. from the University of Illinois at Urbana-Champaign in 2008 and a Bachelor's degree from the University of Tokyo in 2001.