Reconstructing 3D Time-Lapse From Photos On The Internet

3D Time-lapse Reconstruction from Internet Photos (+Video)

Ricardo Martin-Brualla, David Gallup, and Steven M. Seitz | 2015

Abstract. Given an Internet photo collection of a landmark, we compute a 3D time-lapse video sequence where a virtual camera moves continuously in time and space. While previous work assumed a static camera, the addition of camera motion during the time-lapse creates a very compelling impression of parallax. Achieving this goal, however, requires addressing multiple technical challenges, including solving for time-varying depth maps, regularizing 3D point color profiles over time, and reconstructing high quality, hole-free images at every frame from the projected profiles. Our results show photorealistic time-lapses of skylines and natural scenes over many years, with dramatic parallax effects.

Source: http://grail.cs.washington.edu/projects/timelapse3d/

<more at http://grail.cs.washington.edu/projects/timelapse3d/; related links: http://grail.cs.washington.edu/projects/timelapse/ (Time-lapse Mining from Internet Photos. Ricardo Martin-Brualla, David Gallup, and Steven M. Seitz. Proceedings of ACM SIGGRAPH 2015. [Overview: 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.]) and https://www.youtube.com/watch?v=wptzVm0tngc (+Video) (Time-lapse Mining from Internet Photos [SIGGRAPH 2015]. Published May 16, 2015)>