Enhancing feature tracking with gyro regularization

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Bryan Poling, Gilad Lerman

Published: 2016, Last Modified: 04 Nov 2025Image Vis. Comput. 2016EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A 3-axis gyro mounted to a video camera can frequently predict the main component of optical flow.•The gyro-predicted flow can be used to regularize feature tracking to help track ambiguous features through bad imagery.•Gyro regularization does not require all features to belong to a rigid scene.•Gyro regularization adds very little computational cost to feature tracking.•The common practice of using gyros to initialize trackers offers no advantage over careful optical-only initialization.