Invariant image recognition under projective deformations: An image normalization approach

Xue Wei, Son Lam Phung, Abdesselam Bouzerdoum, Amine Bermak

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

Abstract

Robustness in image recognition refers to the ability to perceive an image pattern regardless of factors including camera views and locations. This paper proposes an image normalization algorithm that allows an image with arbitrary projective distortions to be recognized efficiently. The normalization algorithm calculates the required projective transformation matrix using image moments. For an input image, a set of 8 output images that are independent of projective deformations are generated. The proposed algorithm is evaluated on three benchmark data sets. The experimental results show that the proposed normalization is significantly more accurate than the existing rank minimization and affine normalization methods.

Original languageEnglish
Title of host publication2015 Visual Communications and Image Processing, VCIP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467373142
DOIs
Publication statusPublished - 21 Apr 2016
Externally publishedYes
EventVisual Communications and Image Processing, VCIP 2015 - Singapore, Singapore
Duration: 13 Dec 201516 Dec 2015

Other

OtherVisual Communications and Image Processing, VCIP 2015
CountrySingapore
CitySingapore
Period13/12/1516/12/15

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Keywords

  • geometric deformations
  • image moments
  • image normalization
  • image recognition
  • projective invariants

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Wei, X., Phung, S. L., Bouzerdoum, A., & Bermak, A. (2016). Invariant image recognition under projective deformations: An image normalization approach. In 2015 Visual Communications and Image Processing, VCIP 2015 [7457793] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VCIP.2015.7457793