Facial Expression Recognition in JAFFE Dataset Based on Gaussian Process Classification

@article{Cheng2010FacialER,
  title={Facial Expression Recognition in JAFFE Dataset Based on Gaussian Process Classification},
  author={Fei Cheng and Jiangsheng Yu and Huilin Xiong},
  journal={IEEE Transactions on Neural Networks},
  year={2010},
  volume={21},
  pages={1685-1690}
}
The Gaussian process (GP) approaches to classification synthesize Bayesian methods and kernel techniques, which are developed for the purpose of small sample analysis. Here we propose a GP model and investigate it for the facial expression recognition in the Japanese female facial expression dataset. By the strategy of leave-one-out cross validation, the accuracy of the GP classifiers reaches 93.43% without any feature selection/extraction. Even when tested on all expressions of any particular… CONTINUE READING
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