Subspace video stabilization
By Feng Liu, Michael Gleicher, Jue Wang, Hailin Jin, Aseem Agarwala. TOGS, 2011
346 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/52eb16e24b5b68a4f3de6820128376841b0e7e99
How researchers see this paper
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In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Xiaogang Wang
- Dacheng Tao
- Jitendra Malik
- Bernt Schiele
- Andrew Zisserman
- Chen Change Loy
Citations in the corpus
- Auto-directed video stabilization with robust L1 optimal camera paths (2011, methodology): “[9] introduced a technique that imposes subspace constraints [5] on feature trajectories when computing the smooth paths.”
- Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (2018, methodology): “Due to the alignment of the training set, the directly generated results may suffer from a scale changing problem, so we apply the subspace video stabilization (Liu et al. 2011) for smoothness.”
- Video magnification in presence of large motions (2015, methodology): “We examine Youtube [3] and Adobe stabilization [9].”
- First-person hyper-lapse videos (2014, methodology): “Most previous methods employ path smoothing algorithms [Snavely et al. 2008; Liu et al. 2009; Liu et al. 2011; Goldstein and Fattal 2012; Liu et al. 2013].”