@inproceedings{e58a38f58f6845448f73485863aacd46,
title = "SocialSync: Sub-frame synchronization in a smartphone camera network",
abstract = "SocialSync is a sub-frame synchronization protocol for capturing images simultaneously using a smartphone camera network. By synchronizing image captures to within a frame period, multiple smartphone cameras, which are often in use in social settings, can be used for a variety of applications including light field capture, depth estimation, and free viewpoint television. Currently, smartphone camera networks are limited to capturing static scenes due to motion artifacts caused by frame misalignment. Because frame misalignment in smartphones camera networks is caused by variability in the camera system, we characterize frame capture on mobile devices by analyzing the statistics of camera setup latency and frame delivery within an Android app. Next, we develop the SocialSync protocol to achieve sub-frame synchronization between devices by estimating frame capture timestamps to within millisecond accuracy. Finally, we demonstrate the effectiveness of SocialSync on mobile devices by reducing motion-induced artifacts when recovering the light field.",
keywords = "Camera array, Camera network, Mobile device, Multiple viewpoints, Smartphone, Synchronization",
author = "Richard Latimer and Jason Holloway and Ashok Veeraraghavan and Ashutosh Sabharwal",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 13th European Conference on Computer Vision, ECCV 2014 ; Conference date: 06-09-2014 Through 12-09-2014",
year = "2015",
doi = "10.1007/978-3-319-16181-5_43",
language = "English (US)",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "561--575",
editor = "Carsten Rother and Bronstein, {Michael M.} and Lourdes Agapito",
booktitle = "Computer Vision - ECCV 2014 Workshops, Proceedings",
}