In addition to the research, Furukawa plans to co-teach an interdisciplinary course in computer vision with the Sam Fox School of Design & Visual Arts at Washington University as well as co-develop a teaching module for students in Kindergarten through 12th grade with a local high school teacher. Furukawa is the 24th faculty member in the School of Engineering & Applied Science to receive the award. People would never get lost indoors since a complete indoor map is in their pocket."ĬAREER Awards support junior faculty who model the role of teacher-scholar through outstanding research, excellent education and the integration of education and research within the context of the mission of their organization. "Such 3-D models would then facilitate novel applications in science, engineering and commerce. "The project, if successful, could enable the construction of a structured indoor 3-D model for every building in the world," Furukawa says. Louis to map Washington University's Danforth Campus. He plans to create indoor maps of buildings nationwide and intends to bring his technology to St. Furukawa has been awarded a prestigious five-year $487,821 Faculty Early Career Development Award (CAREER) from the National Science Foundation to establish a computational framework for structured indoor 3-D modeling.įurukawa combines 3-D computer vision of indoor scenes with the capabilities of Google Maps and Google Earth to create a unique, high-resolution, photorealistic mapping experience of indoor spaces. That may happen soon, thanks to the work of Yasutaka Furukawa, PhD, assistant professor of computer science & engineering in the School of Engineering & Applied Science at Washington University in St. from the University of Illinois at Urbana-Champaign in 2008 and a Bachelor’s degree from the University of Tokyo in 2001.Newswise - Do you ever wish you had a better way to find your way around a large building than a printed, one-dimensional map? Louis, was a software engineer at Google, and a research associate at the University of Washington. Before joining Simon Fraser University, he was an Assistant Professor at Washington University St. He is on the editorial board of the top journal in computer vision (IJCV), and area chair multiple times at the two top conferences in the field (CVPR and ICCV). He won the Best Student Paper Award at ECCV 2012, Google Research Excellent Paper Award in 2012, Best Paper Award at 3DV 2013, NSF CAREER Award in 2015, and Google Faculty Research Award in 2016. The software has been used in numerous academic and industrial settings, including visual effect companies (e.g., Industrial Light and Magic and Weta digital) for real film production, and Google for Google Maps products. His work has resulted in successful patents and open source software. ![]() ![]() Representative work includes his highly accurate multi-view stereo algorithm (CVPR 2007), which bridged into award winning work on reconstruction of outdoor scenes and museums (ECCV 2012, CVPR 2014, ICCV 2015, Communications of the ACM 2011). ![]() His work bridges from highly accurate algorithms for core computer vision problems through to fundamental important new directions for the field. His papers have been cited more than 6,000 times, h-index of 25. ![]() His research covers a wide range of problems in 3D computer vision and he is considered an international authority in this field. Yasutaka is an Assistant Professor at Simon Fraser University. Yasutaka Furukawa Simon Fraser University
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