“We proposed a novel discriminative multi-manifold analysis to solve the problem of face recognition from a single training sample per person,” Lu said. “Most face recognition methods don’t work well or even fail to work when there is only one training sample per person in the database. Our purposed method can effectively solve this problem under this scenario.”
Additionally, a longer version of the proposed research method was published in the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), a top journal in computer vision.
The Advanced Digital Sciences Center is a University of Illinois at Urbana-Champaign research center based in Singapore, led by Illinois computer science and electrical and computer engineering faculty. ADSC focuses on breakthrough innovations information technology.
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Writer:Katie Carr, coordinator of research programs, Advanced Digital Sciences Center, 217/244-2064.
If you have any questions about the College of Engineering, or other story ideas, contact Rick Kubetz, editor, Engineering Communications Office, University of Illinois at Urbana-Champaign, 217/244-7716.