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[bibtex]@InProceedings{Berenguel-Baeta_2023_CVPR, author = {Berenguel-Baeta, Bruno and Andr\'e, Antoine N. and Caron, Guillaume and Bermudez-Cameo, Jesus and Guerrero, Jose J.}, title = {Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {6445-6448} }
Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization
Abstract
In this article we present a visual gyroscope based on equirectangular panoramas. We propose a new pipeline where we leverage the advantages of the combination of three different methods to obtain a fast and accurate estimation of the attitude of the camera. We quantitatively and qualitatively validate our method on two image sequences taken with a 360 dual-fisheye camera mounted on different aerial vehicles.
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