An Enhanced Local Ternary Patterns Method for Face Recognition

摘要：

　　Feature descriptor based methods(e.g.Local Binary Patterns,Local Ternary Patterns)have gained encouraging results in face recognition.However one needs to manually set the threshold in Local Ternary Patterns(LTP).The threshold in LTP is not data adaptive and not robust to noise.In some cases,we may not give a suitable threshold for LTP.Inspired by Webers Law,here a data adaptive threshold strategy is prosed for LTP and an enhanced LTP is given for face recognition.We evaluate the enhanced LTP on ORL and FERET face databases and the results demonstrate that the enhanced LTP significantly improves the performances.

关键词： local ternary patterns Weber’s Law feature descriptor face recognition

作者: WANG Zhenyu HUANG Rong YANG Wankou SUN Changyin

作者单位: School of Automation,Southeast University,Nanjing 210096;Key Lab of Measurement and Control of Compl School of Automation,Southeast University,Nanjing 210096;Key Lab of Measurement and Control of Compl

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 4636-4640

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）