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A Study on the Effect of Regularization Matrices in Motion Estimation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 51 - Number 19 |
| Year of Publication: 2012 |
| Authors: Alessandra Martins Coelho, Vania V. Estrela |
10.5120/8151-1886
|
Alessandra Martins Coelho, Vania V. Estrela . A Study on the Effect of Regularization Matrices in Motion Estimation. International Journal of Computer Applications. 51, 19 ( August 2012), 17-24. DOI=10.5120/8151-1886
Abstract
Inverse problems are very frequent in computer vision and machine learning applications. Since noteworthy hints can be obtained from motion data, it is important to seek more robust models. The advantages of using a more general regularization matrix such as ?=diag{?1,…,?K} to robustify motion estimation instead of a single parameter ? (?=?I) are investigated and formally stated in this paper, for the optical flow problem. Intuitively, this regularization scheme makes sense, but it is not common to encounter high-quality explanations from the engineering point of view. The study is further confirmed by experimental results and compared to the nonregularized Wiener filter approach.
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