A novel shape-based interest point descriptor (SIP) for 3D ear recognition

Jiajia Lei, Jindan Zhou, Mohamed Abdel-Mottaleb

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

2 Citations (Scopus)

Abstract

In this paper, we introduce a novel shape-based interest point (SIP) descriptor to encode local surface shapes for three-dimensional (3D) ear recognition; the descriptor provides an advantage over previous descriptors by capturing greater details of the macro-shape patterns surrounding an interest point. Using the SIP descriptor, a function is developed to measure the shape dissimilarity between any two interest points. Finally, in the recognition stage, a probe and a gallery pair are compared by applying the matching algorithm on the interest points, with the similarity score set as the number of matched interest points. The proposed method has been tested on the University of Notre Dame(UND) collection J2 dataset, containing range images of 415 subjects. The experimental results demonstrate that our method achieves a 97.4% rank-one recognition rate and a 2.0% Equal Error Rate (EER), which outperforms the state-of-the-art methods.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Pages4176-4180
Number of pages5
DOIs
StatePublished - Dec 1 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: Sep 15 2013Sep 18 2013

Other

Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryAustralia
CityMelbourne, VIC
Period9/15/139/18/13

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Keywords

  • 3D ear recognition
  • local feature
  • shape matching
  • shape-based interest point descriptor

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Lei, J., Zhou, J., & Abdel-Mottaleb, M. (2013). A novel shape-based interest point descriptor (SIP) for 3D ear recognition. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 4176-4180). [6738860] https://doi.org/10.1109/ICIP.2013.6738860

A novel shape-based interest point descriptor (SIP) for 3D ear recognition. / Lei, Jiajia; Zhou, Jindan; Abdel-Mottaleb, Mohamed.

2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. 2013. p. 4176-4180 6738860.

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

Lei, J, Zhou, J & Abdel-Mottaleb, M 2013, A novel shape-based interest point descriptor (SIP) for 3D ear recognition. in 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings., 6738860, pp. 4176-4180, 2013 20th IEEE International Conference on Image Processing, ICIP 2013, Melbourne, VIC, Australia, 9/15/13. https://doi.org/10.1109/ICIP.2013.6738860
Lei J, Zhou J, Abdel-Mottaleb M. A novel shape-based interest point descriptor (SIP) for 3D ear recognition. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. 2013. p. 4176-4180. 6738860 https://doi.org/10.1109/ICIP.2013.6738860
Lei, Jiajia ; Zhou, Jindan ; Abdel-Mottaleb, Mohamed. / A novel shape-based interest point descriptor (SIP) for 3D ear recognition. 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. 2013. pp. 4176-4180
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