Detail 100% Accuracy in Automatic Face Recognition   Oleh:  Jenkins, R. ; Burton, A.M. Jenis: Article from Bulletin/Magazine Dalam koleksi: SCIENCE (keterangan: ada di Proquest) vol. 319 no. 5862 (Jan. 2008), page 435. Ketersediaan Perpustakaan FK Nomor Panggil: S01.K.2008.01 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel Accurate face recognition is critical for many security applications. Current automatic face-recognition systems are defeated by natural changes in lighting and pose, which often affect face images more profoundly than changes in identity. The only system that can reliably cope with such variability is a human observer who is familiar with the faces concerned. We modeled human familiarity by using image averaging to derive stable face representations from naturally varying photographs. This simple procedure increased the accuracy of an industry standard face-recognition algorithm from 54% to 100%, bringing the robust performance of a familiar human to an automated system. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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