Rebuilding the World’s Most Beloved Landmarks in Six Days
New Process Constructs 12,903 3D Models from 100 Million Crowd-Sourced Photos
REDMOND, WA—URCV has built a 3D reconstruction of the world’s landmarks using computer vision and 3D modeling techniques, in partnership with the UNC Department of Computer Science. Using Yahoo’s publically available collection of 100 million crowd-sourced photos and photogrammetry, UNC and URCV created a new software process able to rebuild 12,903 3D models after six days. A demonstration will be presented during the 2015 CVPR Computer Vision Conference in Boston, Massachusetts.
UNC and URCV researchers applied the framework to Yahoo’s publicly available collection of 100 million crowd-sourced photos, containing images geographically distributed throughout the entire world. The program took 4.4 days to stream and cluster the entire 14-terabyte dataset on a single computer before building the 3D models of each of those sites. Stacked on top of each other, these photos would reach into the middle of the stratosphere of the earth (twice as high as airplane cruise altitude).
For more information, visit urcventures.com
