2018 IEEE Winter Conference on Applications of Computer Vision (WACV)
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Abstract

The use of 360 degree cameras, enabling one to record and share full-spherical 360° X 180° view without any cropping in the viewing angle, is on the rise. Shake in such videos is problematic, especially when used in conjunction with VR headsets causing cybersickness to the viewer. The current state-of-the-art video stabilization algorithm [17] designed specifically for 360 degree videos considers the special geometrical constraints in such videos. However, the specific steps in the algorithm can abruptly change the viewing direction in a video leading to unnatural experience for the viewer. In this paper, we propose to fix this anomaly by the use of L1 smoothness constraints on the camera path, as suggested by Grundmann et al. [7]. The modified algorithm is generic and our experiments indicate that the proposed algorithm not only gives a more natural and smoother stabilization for 360 degree videos but can be used for stabilizing normal field of view videos as well.
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