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Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A simple motion estimation algorithm, light-weighted both in memory and in time, is presented in this paper. This simplicity is achieved by decoupling the matching and the regularization stages in the estimation process. Experiments show that the obtained results are comparable with state-of-the-art algorithms that are much more computationally demanding.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages1517-1520
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: Sep 30 2012Oct 3 2012

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2012 19th IEEE International Conference on Image Processing, ICIP 2012
Country/TerritoryUnited States
CityLake Buena Vista, FL
Period9/30/1210/3/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Keywords

  • dense SIFT
  • matching
  • Motion estimation
  • nonlinear filtering
  • PatchMatch

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