An Adaptive Descriptor Design for Object Recognition in the Wild

@article{Guo2013AnAD,
  title={An Adaptive Descriptor Design for Object Recognition in the Wild},
  author={Zhenyu Guo and Z. Wang},
  journal={2013 IEEE International Conference on Computer Vision},
  year={2013},
  pages={2568-2575}
}
  • Zhenyu Guo, Z. Wang
  • Published 2013
  • Computer Science
  • 2013 IEEE International Conference on Computer Vision
  • Digital images nowadays show large appearance variabilities on picture styles, in terms of color tone, contrast, vignetting, and etc. These `picture styles' are directly related to the scene radiance, image pipeline of the camera, and post processing functions (e.g., photography effect filters). Due to the complexity and nonlinearity of these factors, popular gradient-based image descriptors generally are not invariant to different picture styles, which could degrade the performance for object… CONTINUE READING
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