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Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Typically, the problems of spatial and temporal alignment of sequences are considered disjoint. That is, in order to align two sequences, a methodology that (non)-rigidly aligns the images is first applied, followed by temporal alignment of the obtained aligned images. In this paper, we propose the first, to the best of our knowledge, methodology that can jointly spatio-temporally align two sequences, which display highly deformable texture-varying objects. We show that by treating the problems
doi:10.1109/cvpr.2016.368
dblp:conf/cvpr/ZafeiriouAZP16
fatcat:6shb6chb35ehrbuygocv4rg2qe