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Fast piecewise-affine motion estimation without segmentation.
IEEE Trans. Image Process. 27, 5612-5624 (2018)
Current algorithmic approaches for piecewise affine motion estimation are based on alternating motion segmentation and estimation. We propose a new method to estimate piecewise affine motion fields directly without intermediate segmentation. To this end, we reformulate the problem by imposing piecewise constancy of the parameter field, and derive a specific proximal splitting optimization scheme. A key component of our framework is an efficient 1D piecewise-affine estimator for vector-valued signals. The first advantage of our approach over segmentation-based methods is its absence of initialization. The second advantage is its lower computational cost, which is independent of the complexity of the motion field. In addition to these features, we demonstrate competitive accuracy with other piecewise-parametric methods on standard evaluation benchmarks. Our new regularization scheme also outperforms the more standard use of total variation and total generalized variation.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Motion Estimation ; Optical Flow ; Optimization ; Piecewise Affine; Optical-flow Estimation; Variational-problems; Image Motion; Model; Time
ISSN (print) / ISBN
1057-7149
e-ISSN
1941-0042
Quellenangaben
Volume: 27,
Issue: 11,
Pages: 5612-5624
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place
445 Hoes Lane, Piscataway, Nj 08855-4141 Usa
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)