Please use this identifier to cite or link to this item: https://doi.org/10.1145/2461912.2461995
Title: Bundled camera paths for video stabilization
Authors: Liu, S.
Yuan, L.
Tan, P. 
Sun, J.
Keywords: Camera paths
Image warping
Video stabilization
Issue Date: Jul-2013
Citation: Liu, S., Yuan, L., Tan, P., Sun, J. (2013-07). Bundled camera paths for video stabilization. ACM Transactions on Graphics 32 (4) : -. ScholarBank@NUS Repository. https://doi.org/10.1145/2461912.2461995
Abstract: We present a novel video stabilization method which models camera motion with a bundle of (multiple) camera paths. The proposed model is based on a mesh-based, spatially-variant motion representation and an adaptive, space-time path optimization. Our motion representation allows us to fundamentally handle parallax and rolling shutter effects while it does not require long feature trajectories or sparse 3D reconstruction. We introduce the 'as-similaras- possible' idea to make motion estimation more robust. Our space-time path smoothing adaptively adjusts smoothness strength by considering discontinuities, cropping size and geometrical distortion in a unified optimization framework. The evaluation on a large variety of consumer videos demonstrates the merits of our method. Copyright © ACM 2013.
Source Title: ACM Transactions on Graphics
URI: http://scholarbank.nus.edu.sg/handle/10635/82024
ISSN: 07300301
DOI: 10.1145/2461912.2461995
Appears in Collections:Staff Publications

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