Lagrangian Motion Magnification with Double Sparse Optical Flow Decomposition.
Philipp FlothoCosmas HeissGabriele SteidlDaniel J. StraussPublished in: CoRR (2022)
Keyphrases
- optimal solution
- optical flow
- motion model
- motion field
- dense optical flow
- image sequences
- optical flow estimation
- motion estimation
- optical flow computation
- motion parameters
- motion segmentation
- camera motion
- image motion
- optical flow fields
- velocity field
- least squares
- ego motion
- dense motion estimation
- flow field
- consecutive frames
- d scene
- moving objects
- optical flow field
- optical flow algorithm
- moving camera
- vector field
- smoothness constraint
- lagrangian dual
- flow estimation
- motion estimates
- rigid body motion
- computation of optical flow
- motion discontinuities
- tensor decomposition
- computer vision
- high dimensional
- feature tracking
- super resolution
- motion analysis
- visual motion
- scene flow
- motion features
- rigid motion
- spatio temporal
- sparse representation
- moving observer