4.6 Article

Optical flow modeling and computation: A survey

期刊

COMPUTER VISION AND IMAGE UNDERSTANDING
卷 134, 期 -, 页码 1-21

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.cviu.2015.02.008

关键词

Optical flow; Motion estimation; Regularization; Parametric models; Optimization; Feature matching; Occlusions

资金

  1. France-Biolmaging project - Investissement d'Avenir program
  2. UMR 144 CNRS of Institut Curie
  3. OSEO, French State agency for innovation

向作者/读者索取更多资源

Optical 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. (C) 2015 Elsevier Inc. All rights reserved.

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