IEEE Trans Image Process - Common feature discriminant analysis for matching infrared face images to optical face images.

Tópicos

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Resumo

In biometrics research and industry, it is critical yet a challenge to match infrared face images to optical face images. The major difficulty lies in the fact that a great discrepancy exists between the infrared face image and corresponding optical face image because they are captured by different devices (optical imaging device and infrared imaging device). This paper presents a new approach called common feature discriminant analysis to reduce this great discrepancy and improve optical-infrared face recognition performance. In this approach, a new learning-based face descriptor is first proposed to extract the common features from heterogeneous face images (infrared face images and optical face images), and an effective matching method is then applied to the resulting features to obtain the final decision. Extensive experiments are conducted on two large and challenging optical-infrared face data sets to show the superiority of our approach over the state-of-the-art.

Resumo Limpo

biometr research industri critic yet challeng match infrar face imag optic face imag major difficulti lie fact great discrep exist infrar face imag correspond optic face imag captur differ devic optic imag devic infrar imag devic paper present new approach call common featur discrimin analysi reduc great discrep improv opticalinfrar face recognit perform approach new learningbas face descriptor first propos extract common featur heterogen face imag infrar face imag optic face imag effect match method appli result featur obtain final decis extens experi conduct two larg challeng opticalinfrar face data set show superior approach stateoftheart

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