TY - GEN
T1 - Local Quaternary Patterns and Feature Local Quaternary Patterns
AU - Gu, Jiayu
AU - Liu, Chengjun
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Feature Local Binary Patterns (FLBP) and Local Ternary Patterns (LTP)
KW - Feature Local Quaternary Patterns (FLQP)
KW - Local Binary Patterns (LBP)
KW - Local Quaternary Patterns (LQP)
UR - http://www.scopus.com/inward/record.url?scp=84873315120&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873315120&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84873315120
SN - 9781601322258
T3 - Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
SP - 1100
EP - 1106
BT - Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
T2 - 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
Y2 - 16 July 2012 through 19 July 2012
ER -