near infrared-visible face recognitionface image generationResNeSttriplet loss functionattention mechanismNear infrared-visible(NIR-VIS)face recognition is to match an NIR face image to a VIS image.The main challenges of NIR-VIS face recognition are the gap caused by cross-modality and the lack of...
Summary: Recently, a new technique called two-dimensional principal component analysis (2DPCA) was proposed for face representation and recognition. The main idea behind 2DPCA is that it is based on 2D matrices as opposed to the standard PCA, which is based on 1D vectors. Although 2DPCA obtai...
NANCY CORDES, CBS NEWS CONGRESSIONAL CORRESPONDENT: Not enough of a tonal shift for the Clinton's camps like -- liking, but a bit, a bit. He isn't saying she lacks judgment anymore, at least not this week. He isn't saying that she doesn't know what she's doing or that she's no...
The parent company on its website claims that it is the "global biometric patent holders for the enrollment of fingerprint, facial, voice recognition, and iris scanning on a mobile device or smart card." At issue are U.S. Patent Nos. 9,269,208, 9,665,705 and 8,620,039, al...
Many face recognition algorithms have been proposed thus far; however, achieving high recognition accuracy and low execution time remains a challenge. In this work, a new scheme for face recognition is presented using hybrid orthogonal polynomials to extract features. The embedded image kernel ...