Detecting object bending with complex polynomial fitting

Research output: Contribution to book or proceedingConference articlepeer-review

Abstract

Recognizing bending and curving patterns of objects in an image is useful in many practical image analysis and vision applications. We present a novel approach to the problem by detecting and modeling object bending using conformal mappings and complex polynomial least squares fitting, which also leads to a fully automatic method for correcting the bending.

Original languageEnglish
Title of host publicationProceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Joan Lu, Fernando G. Tinetti, Jane You, George Jandieri, Gerald Schaefer, Ashu M. G. Solo, Vladimir Volkov
PublisherCSREA Press
Pages557-560
Number of pages4
ISBN (Electronic)1601322534, 9781601322531
StatePublished - 2013
Event2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013 - Las Vegas, United States
Duration: Jul 22 2013Jul 25 2013

Publication series

NameProceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013
Volume2

Conference

Conference2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013
Country/TerritoryUnited States
CityLas Vegas
Period07/22/1307/25/13

Scopus Subject Areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Keywords

  • Conformal mapping
  • Image transformation
  • Least squares fitting
  • Object bending

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