Enhanced Biologically Inspired Model for Object Recognition

@article{Huang2011EnhancedBI,
  title={Enhanced Biologically Inspired Model for Object Recognition},
  author={Yongzhen Huang and Kaiqi Huang and Dacheng Tao and Tieniu Tan and Xuelong Li},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2011},
  volume={41},
  pages={1668-1680}
}
The biologically inspired model (BIM) proposed by Serre presents a promising solution to object categorization. It emulates the process of object recognition in primates' visual cortex by constructing a set of scale- and position-tolerant features whose properties are similar to those of the cells along the ventral stream of visual cortex. However, BIM has potential to be further improved in two aspects: mismatch by dense input and randomly feature selection due to the feedforward framework. To… CONTINUE READING

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