# Sub-millisecond Video Synchronization of Multiple Android Smartphones

arXiv: https://arxiv.org/abs/2107.00987 · HTML: https://mlsanity.com/paper/2107.00987/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 12 of its 25 references that are in the map.
- First posted on arXiv 2 Jul 2021.

## Builds on (most cited first, 12 of 12)

- [Cross View Fusion for 3D Human Pose Estimation](https://mlsanity.com/paper/1909.01203/) (2019)
- [Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views](https://mlsanity.com/paper/1901.04111/) (2019)
- [Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation](https://mlsanity.com/paper/2004.02186/) (2020)
- [Online Mixed-Integer Optimization in Milliseconds](https://mlsanity.com/paper/1907.02206/) (2019)
- [Du2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels](https://mlsanity.com/paper/2003.14299/) (2020)
- [Wireless Software Synchronization of Multiple Distributed Cameras](https://mlsanity.com/paper/1812.09366/) (2018)
- [VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite](https://mlsanity.com/paper/1912.02469/) (2019)
- [The Matter of Time -- A General and Efficient System for Precise Sensor Synchronization in Robotic Computing](https://mlsanity.com/paper/2103.16045/) (2021)
- [Rolling Shutter Camera Synchronization with Sub-millisecond Accuracy](https://mlsanity.com/paper/1902.11084/) (2019)
- [Deep learning Framework for Mobile Microscopy](https://mlsanity.com/paper/2007.13701/) (2020)
- [OpenBot: Turning Smartphones into Robots](https://mlsanity.com/paper/2008.10631/) (2020)
- [Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobiles](https://mlsanity.com/paper/2103.07883/) (2021)

## Built on by (most cited first, 1 of 1)

- [Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency](https://mlsanity.com/paper/2311.12421/) (2023)

## Abstract (arXiv)

This paper addresses the problem of building an affordable easy-to-setup synchronized multi-view camera system, which is in demand for many Computer Vision and Robotics applications in high-dynamic environments. In our work, we propose a solution for this problem -- a publicly-available Android application for synchronized video recording on multiple smartphones with sub-millisecond accuracy. We present a generalized mathematical model of timestamping for Android smartphones and prove its applicability on 47 different physical devices. Also, we estimate the time drift parameter for those smartphones, which is less than 1.2 msec per minute for most of the considered devices, that makes smartphones' camera system a worthy analog for professional multi-view systems. Finally, we demonstrate Android-app performance on the camera system built from Android smartphones quantitatively on setup with lights and qualitatively -- on panorama stitching task.