Multi-View Gender Classification Using Multi-Resolution Local Binary Patterns and Support Vector Machines

@article{Lian2007MultiViewGC,
  title={Multi-View Gender Classification Using Multi-Resolution Local Binary Patterns and Support Vector Machines},
  author={Hui-Cheng Lian and Bao-Liang Lu},
  journal={International journal of neural systems},
  year={2007},
  volume={17 6},
  pages={479-87}
}
In this paper, we present a novel method for multi-view gender classification considering both shape and texture information to represent facial images. The face area is divided into small regions from which local binary pattern (LBP) histograms are extracted and concatenated into a single vector efficiently representing a facial image. Following the idea of local binary pattern, we propose a new feature extraction approach called multi-resolution LBP, which can retain both fine and coarse… CONTINUE READING

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