A food image recognition system with Multiple Kernel Learning

@article{Joutou2009AFI,
  title={A food image recognition system with Multiple Kernel Learning},
  author={Taichi Joutou and Keiji Yanai},
  journal={2009 16th IEEE International Conference on Image Processing (ICIP)},
  year={2009},
  pages={285-288}
}
Since health care on foods is drawing people's attention recently, a system that can record everyday meals easily is being awaited. In this paper, we propose an automatic food image recognition system for recording people's eating habits. In the proposed system, we use the Multiple Kernel Learning (MKL) method to integrate several kinds of image features such as color, texture and SIFT adaptively. MKL enables to estimate optimal weights to combine image features for each category. In addition… CONTINUE READING
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