Restoration of Fast Moving Objects

0533754 - ÚTIA 2021 RIV US eng J - Journal Article
Kotera, Jan - Matas, J. - Šroubek, Filip
Restoration of Fast Moving Objects.
IEEE Transactions on Image Processing. Roč. 29, č. 1 (2020), s. 8577-8589. ISSN 1057-7149. E-ISSN 1941-0042
R&D Projects: GA ČR GA18-05360S
Institutional support: RVO:67985556
Keywords : Blind deconvolution * motion deblurring * motion estimation * shape estimation * image matting * alternating direction method of multipliers
OECD category: Computer hardware and architecture
Impact factor: 10.856, year: 2020
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2020/ZOI/kotera-0533754.pdf https://ieeexplore.ieee.org/document/9171560

We have proposed a method for restoration of fast moving objects from a single image. If an object is photographed at motion in front of a static background, the object will be blurred while the background sharp and partially occluded by the object. The goal is to recover the object appearance from such blurred image. We adopt the image formation model for fast moving objects and consider objects undergoing 2D translation and rotation. For this scenario we formulate the estimation of the object shape, appearance, and motion from a single image and known background as a constrained optimization problem with appropriate regularization terms. Both similarities and differences with blind deconvolution are discussed with the latter caused mainly by the coupling of the object appearance and shape in the acquisition model. Necessary conditions for solution uniqueness are derived and a numerical solution based on the alternating direction method of multipliers is presented. The proposed method is evaluated on a new dataset.
Permanent Link: http://hdl.handle.net/11104/0312102