Local Quaternary Patterns and Feature Local Quaternary Patterns

Jiayu Gu, Chengjun Liu

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

2 Scopus citations

Abstract

This paper presents a new local texture descriptor, Local Quaternary Patterns (LQP) and its extension, Feature Local Quaternary Patterns (FLQP). The LQP, which encodes four relationships of local texture, includes more information of local texture than the Local Binary Patterns (LBP) and Local Ternary Patterns (LTP). The FLQP which encodes both local and feature information is expected to perform better than the LQP for texture description and pattern recognition. To reduce the size of feature dimensions and histograms of both LQP and FLQP, a new coding schema is proposed to split the LQP and FLQP into two binary codes: the upper and lower binary codes. As a result, the total possible values of split LQP and FLQP are reduced to 512. The feasibility of the proposed LQP and FLQP methods is demonstrated on an eye detection problem. Experimental results using the BioID database show that both the FLQP and the LQP methods archive better performance than the feature LTP, the LTP, the feature LBP and the LBP methods. Specifically, the FLQP method achieves the highest eye detection rate among all the competing methods.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
Pages1100-1106
Number of pages7
StatePublished - Dec 1 2012
Event2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012 - Las Vegas, NV, United States
Duration: Jul 16 2012Jul 19 2012

Publication series

NameProceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
Volume2

Other

Other2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
CountryUnited States
CityLas Vegas, NV
Period7/16/127/19/12

All Science Journal Classification (ASJC) codes

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

Keywords

  • Feature Local Binary Patterns (FLBP) and Local Ternary Patterns (LTP)
  • Feature Local Quaternary Patterns (FLQP)
  • Local Binary Patterns (LBP)
  • Local Quaternary Patterns (LQP)

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