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On robust optical flow estimation on image sequences with differently exposed frames using primal-dual optimization

Tomas Bengtsson (Institutionen för signaler och system, Signalbehandling) ; Tomas McKelvey (Institutionen för signaler och system, Signalbehandling) ; Konstantin Lindström
Image and Vision Computing (0262-8856). Vol. 57 (2017), p. 78-88.
[Artikel, refereegranskad vetenskaplig]

Optical flow methods are used to estimate pixelwise motion information based on consecutive frames in image sequences. The image sequences traditionally contain frames that are similarly exposed. However, many real-world scenes contain high dynamic range content that cannot be captured well with a single exposure setting. Such scenes result in certain image regions being over- or underexposed, which can negatively impact the quality of motion estimates in those regions. Motivated by this, we propose to capture high dynamic range scenes using different exposure settings every other frame. A framework for OF estimation on such image sequences is presented, that can straightforwardly integrate techniques from the state-of-the-art in conventional OF methods. Different aspects of robustness of OF methods are discussed, including estimation of large displacements and robustness to natural illumination changes that occur between the frames, and we demonstrate experimentally how to handle such challenging flow estimation scenarios. The flow estimation is formulated as an optimization problem whose solution is obtained using an efficient primal–dual method.

Nyckelord: High dynamic range, Optical flow estimation, Primal–dual, Temporal coherency

Denna post skapades 2017-01-26. Senast ändrad 2017-03-22.
CPL Pubid: 247723


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Institutionen för signaler och system, Signalbehandling (1900-2017)


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