Directional descriptors using zernike moment phases for object orientation estimation in underwater sonar images

Naveen Kumar, Adam C. Lammert, Brendan Englot, Franz S. Hover, Shrikanth S. Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Conventional methods for rotation angle estimation are not very robust to variations in object shape or intensity. However in real object recognition scenarios like in underwater sonar images, the object seldom retains the same appearance in different test cases. Object representation using Zernike moments allows to capture these variabilities in a way that makes it robust in the context of rotation angle estimation. This paper presents a novel way to exploit the phase information of Zernike moments to infer the object orientation. This is achieved via a compact directional representation that describes the variation in object shape along different directions. Results yielded on the DIDSON sonar imageset collected by CSAIL at MIT show that the method can robustly infer the relative orientation between objects.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages1025-1028
Number of pages4
DOIs
StatePublished - 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: 22 May 201127 May 2011

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Country/TerritoryCzech Republic
CityPrague
Period22/05/1127/05/11

Keywords

  • Directional Descriptors
  • Rotation Angle
  • Underwater Sonar Image
  • Zernike Moment Phase

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