Coarse-to-fine low-rank structure-from-motion

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Category-specific object reconstruction from a single image (2014, background): “Originally proposed for recovering shape and deformations from video [6, 33, 16, 10], NRSfM is a natural choice for viewpoint estimation from sparse correspondences as intra-class variation may become a confounding factor if not modeled explicitly.”
Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video (2013, background): “Most approaches have required the addition of extra priors on the shape or camera matrices to resolve the ambiguities such as: temporal smoothness [4, 32], near rigidity (rigid component explains most of the motion) [4, 32], smooth time trajectories [2, 16, 21], basis priors [4] or use of a pre-defi”
Factorization for non-rigid and articulated structure using metric projections (2009, background): “We show successful results of our algorithms on synthetic and real sequences of both deformable and articulated data.”