An improved optical flow algorithm based on image and flow-driven regularization - 文章详情页

作者：

Li, Xiuzhi (Li, Xiuzhi.) | Zhao, Guanrong (Zhao, Guanrong.) | Jia, Songmin (Jia, Songmin.) (学者：贾松敏) | Tan, Jun (Tan, Jun.)

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EI Scopus

摘要：

Variational　methods　are　among　the　most　accurate　techniques　for　estimating　the　optic　flow.　In　this　paper,　an　estimation　technology　of　variational　optical　flow　based　on　Image　and　Flow-driven　regularization　methods　are　introduced　to　preserve　the　discontinuities　and　yield　dense　flow　fields.　Additionally,　variational　frame　work　together　with　the　image　pyramid　and　gaussian　filter　method　are　applied　in　the　solving　process　to　estimate　large　displacements　correctly.　The　data　term　of　the　energy　model　includes　brightness　and　gradient　constancy　assumption.　Experimental　results　prove　that　the　method　is　improved　to　a　certain　extent　compared　with　the　previous　variational　model　of　optical.　©　2013　IEEE.

关键词：

Image enhancement Optical flows Pulse shaping circuits Variational techniques

作者机构：

[ 1 ] [Li, Xiuzhi]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 2 ] [Zhao, Guanrong]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 3 ] [Jia, Songmin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 4 ] [Tan, Jun]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

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