Optical flow and scene flow estimation: A survey

作者：

Highlights：

• To the best of our knowledge, this is the first survey paper to cover both optical flow and scene flow estimation comprehensively.

• In contrast to existing surveys, this survey includes knowledge-driven, data-driven and hybrid-driven methods.

• Comprehensive comparisons of existing methods on several datasets are provided with insightful observations and sufficient analyses.

• Some of the open issues and potential research directions are discussed.

摘要

•To the best of our knowledge, this is the first survey paper to cover both optical flow and scene flow estimation comprehensively.•In contrast to existing surveys, this survey includes knowledge-driven, data-driven and hybrid-driven methods.•Comprehensive comparisons of existing methods on several datasets are provided with insightful observations and sufficient analyses.•Some of the open issues and potential research directions are discussed.

论文关键词：Motion analysis,Optical flow,Scene flow,Variational model,Deep learning,Convolutional neural networks (CNNs)

论文评审过程：Received 12 March 2020, Revised 20 October 2020, Accepted 24 January 2021, Available online 1 February 2021, Version of Record 9 February 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.107861