A bi-objective optimization model for interactive face retrieval
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Overlapping local phase feature (OLPF) for robust face recognition in surveillance
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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The LBP (Local Binary Pattern) feature is one of the dominant methods in face recognition. The growth of sampling density of general Uniform LBP operator will improve the precision with the cost of very high-dimensional feature in face recognition. The normally adopted Riu-LBP(Rotation Invariant Uniform LBP) feature is of very low dimension but deteriorate precision due to the lose of direction information. In this paper, we propose feature-level fusion of multi-directional Riu-LBP features. With such simple scheme, the feature dimension is drastically decreased while the precision is comparable or even better than the general Uniform LBP features.