University of Illinois Advanced Digital Sciences Center (ADSC) researcher Jiwen Lu was recently awarded the Best Student Paper Award from the Pattern Recognition and Machine Intelligence Association (PREMIA) of Singapore for a paper published at the 2011 International Conference on Computer Vision (ICCV).

ICCV is held once every two years and is a highly selective computer vision conference. PREMIA is a member of the International Association for Pattern Recognition.

The paper, “Discriminative Multi-manifold Analysis for Face Recognition from a Single Training Sample per Person,” addresses a challenging problem in the face recognition area and was co-authored with the Associate Professor Tan Yap-Peng in Nanyang Technological University (NTU) and University of Illinois ADSC Research Scientist Gang Wang.

“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.

Lu works with University of Illinois at Urbana-Champaign Professor Thomas Huang’s Understanding the Built Environment by Observing Human Activities research group at ADSC in Singapore. His research interests include computer vision, pattern recognition, machine learning and biometrics.

The Advanced Digital Sciences Center is a University of Illinois at Urbana-Champaign research center in Singapore. It is led by Electrical and Computer Engineering and Computer Science faculty at the University of Illinois. ADSC focuses on breakthrough innovations in information technology.