title: Blood perfusion construction for infrared face recognition based on bio-heat transfer.
abstract: To improve the performance of infrared face recognition for time-lapse data, a new construction of blood perfusion is proposed based on bio-heat transfer. Firstly, by quantifying the blood perfusion based on Pennes equation, the thermal information is converted into blood perfusion rate, which is stable facial biological feature of face image. Then, the separability discriminant criterion in Discrete Cosine Transform (DCT) domain is applied to extract the discriminative features of blood perfusion information. Experimental results demonstrate that the features of blood perfusion are more concentrative and discriminative for recognition than those of thermal information. The infrared face recognition based on the proposed blood perfusion is robust and can achieve better recognition performance compared with other state-of-the-art approaches.
authors.affiliation: Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang 330013, China.
authors.forename: Zhihua
authors.initials: Z
authors.lastname: Xie
authors.affiliation: Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang 330013, China.
authors.forename: Guodong
authors.initials: G
authors.lastname: Liu
mesh_terms: D001699:Biometry / Q000379:methods*; D001783:Blood Flow Velocity / Q000502:physiology*; D003198:Computer Simulation; D004735:Energy Transfer; D005145:Face / Q000033:anatomy & histology / Q000098:blood supply / Q000502:physiology*; D006801:Humans; D007259:Infrared Rays; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods*; D055420:Perfusion Imaging / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013817:Thermography / Q000379:methods*
keywords: Feature extraction; bio-heat transfer model; blood perfusion; face recognition; infrared image