Octagonal prism LBP representation for face recognition

Kwon Lee, Taeuk Jeong, Seongyoun Woo, Chulhee Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In this paper, we propose an octagonal prism representation for local binary patterns (LBP). This representation implements a new circular distance measurement for face recognition under various illumination conditions. The LBP method has been widely used in many computer vision applications, particularly for face recognition. Most LBP matching methods use distribution features with a bin-to-bin distance measure. However, using this bin-to-bin distance measure may produce low similarity scores even for similar patterns. To address this problem, we placed the LBPs on an octagonal prism in a three dimensional space and used the Euclidean distance measure. In the proposed octagonal prism representation, the LBPs were represented as three dimensional vectors on the octagonal prism. Since similar patterns under different illumination conditions are located in the vicinity on the octagonal prism, the proposed method proved robust against illumination variations. The proposed method produced noticeably improved performance when using the CMU PIE, Yale B, and Extended Yale B databases.

Original languageEnglish
Pages (from-to)21751-21770
Number of pages20
JournalMultimedia Tools and Applications
Issue number16
Publication statusPublished - 2018 Aug 1

Bibliographical note

Funding Information:
Acknowledgments This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2015R1A2A2A01006421).

Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.

All Science Journal Classification (ASJC) codes

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications


Dive into the research topics of 'Octagonal prism LBP representation for face recognition'. Together they form a unique fingerprint.

Cite this