3D Face Recognition by Used Region-Based with Facial Expression Variation

摘要：

In this paper we present a new method in 3D face recognition with expression variation images by FRAV3D database. We find a central region of 3D face and extract feature face in nose region. Then extract diagonal profiles of nose region as individual feature face and compare the profiles to recognize 3D faces. The experimental results indicate that diagonal profiles contain diacritic information in this region. Diagonal profiles on nose region achieve the highest performance 78.27％ and used diagonal profiles with wide line of face in nose region achieve the 85％ in facial expression images witb FRAV3D database. Also by used weighting coefficient in each objects of probe set achieved the highest performance 95.8％. Computational results demonstrator the accuracy and efficiency, which has been used in commercial applications for human recognition.

关键词： 3D face recognition expression variation diagonal profile nose region weighting coefficient

作者: Behzad BomakIslamic Azad Saeid RafieiIslamic Azad Alireza SarikhaniIslamic Azad Abolghasem Babaei

作者单位: Unversity Arak Branch Young Researchers Club Arak, Iran

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 710-713

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）