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Digital Video Stabilization and Rolling Shutter Correction using Gyroscopes.

purl.stanford.edu/fn707qy4829
Title:
Digital Video Stabilization and Rolling Shutter Correction using Gyroscopes.
Author:
Karpenko, Alexandre, Jacobs, David, Baek, Jongmin, and Levoy, Marc
Description:
In this paper we present a robust, real-time video stabilization and rolling shutter correction technique based on commodity gyroscopes. First, we develop a unified algorithm for modeling camera motion and rolling shutter warping. We then present a novel framework for automatically calibrating the gyroscope and camera outputs from a single video capture. This calibration allows us to use only gyroscope data to effectively correct rolling shutter warping and to stabilize the video. Using our algorithm, we show results for videos featuring large moving foreground objects, parallax, and low-illumination. We also compare our method with commercial image-based stabilization algorithms. We find that our solution is more robust and computationally inexpensive. Finally, we implement our algorithm directly on a mobile phone. We demonstrate that by using the phone’s inbuilt gyroscope and GPU, we can remove camera shake and rolling shutter artifacts in real-time.
Topic:
Computer science
Subject:
Stanford University. Computer Science Department
Language:
English
Physical Description:
1 text file
Publication Info:
cau and Stanford (Calif.)
Date:
2011
Place created:
Stanford (Calif.)
Imprint:
Stanford (Calif.), 2011
Genre:
technical reports
Identifier:
CS-TR-2011-03
Collection:
Stanford University, Department of Computer Science, Technical Reports