Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization
Abstract
A visual gyroscope utilizing equirectangular panoramas combines three methods to accurately estimate camera attitude, validated on $360^\circ$ dual-fisheye images from aerial vehicles.
In this article we present a visual gyroscope based on equirectangular panoramas. We propose a new pipeline where we take advantage of combining three different methods to obtain a robust and accurate estimation of the attitude of the camera. We quantitatively and qualitatively validate our method on two image sequences taken with a 360^circ dual-fisheye camera mounted on different aerial vehicles.
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