1University of Washington 2Google Inc.
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.
See our previous paper Time-lapse Mining from Internet Photos that appeared at SIGGRAPH'15.
We thank the following Flickr users for contributing their photos under the Creative Commons license: Eric Astrauskas, Francisco Antunes, Florian Plag, Dan Dickinson, Butterbean and Alex Proimos.
The research was supported in part by the National Science Foundation (IIS-1250793), the Animation Research Labs, and Google.