Object recognition with features inspired by visual cortex

@article{Serre2005ObjectRW,
  title={Object recognition with features inspired by visual cortex},
  author={Thomas Serre and Lior Wolf and Tomaso A. Poggio},
  journal={2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)},
  year={2005},
  volume={2},
  pages={994-1000 vol. 2}
}
  • Thomas Serre, Lior Wolf, T. Poggio
  • Published 20 June 2005
  • Computer Science
  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
We introduce a novel set of features for robust object recognition. Each element of this set is a complex feature obtained by combining position- and scale-tolerant edge-detectors over neighboring positions and multiple orientations. Our system's architecture is motivated by a quantitative model of visual cortex. We show that our approach exhibits excellent recognition performance and outperforms several state-of-the-art systems on a variety of image datasets including many different object… 
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