Trust Region versus Line Search for Computing the Optical Flow

Kalmoun, El Mostafa; Garrido, L.

doi:10.1137/120897213

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Due to the large scale of the problem, Newton methods requiring the inversion of the Hessian of the energy are not applicable, and only quasi-Newton methods are computationally tractable. A few works have explored this direction, with Truncated Newton [134,135] or L-BFGS [75].…”

Section: Continuous Methodsmentioning

confidence: 99%

Optical flow modeling and computation: A survey

Fortun

Bouthémy

Kervrann

2015

Computer Vision and Image Understanding

369

182

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a b s t r a c tOptical flow estimation is one of the oldest and still most active research domains in computer vision. In 35 years, many methodological concepts have been introduced and have progressively improved performances, while opening the way to new challenges. In the last decade, the growing interest in evaluation benchmarks has stimulated a great amount of work. In this paper, we propose a survey of optical flow estimation classifying the main principles elaborated during this evolution, with a particular concern given to recent developments. It is conceived as a tutorial organizing in a comprehensive framework current approaches and practices. We give insights on the motivations, interests and limitations of modeling and optimization techniques, and we highlight similarities between methods to allow for a clear understanding of their behavior.

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Section: Continuous Methodsmentioning

confidence: 99%