Time-lapse mining from internet photos
Ricardo Martin-Brualla, David Gallup, Steven M. Seitz
In ACM Transactions on Graphics (TOG), 34(4), August 2015.
Abstract: We introduce an approach for synthesizing time-lapse videos of popular landmarks from large community photo collections. The approach is completely automated and leverages the vast quantity of photos available online. First, we cluster 86 million photos into landmarks and popular viewpoints. Then, we sort the photos by date and warp each photo onto a common viewpoint. Finally, we stabilize the appearance of the sequence to compensate for lighting effects and minimize flicker. Our resulting time-lapses show diverse changes in the world's most popular sites, like glaciers shrinking, skyscrapers being constructed, and waterfalls changing course.
@article{10.1145-2766903,
author = {Ricardo Martin-Brualla and David Gallup and Steven M. Seitz},
title = {Time-lapse mining from internet photos},
journal = {ACM Transactions on Graphics (TOG)},
volume = {34},
number = {4},
articleno = {62},
month = aug,
year = {2015},
}
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