Unified probabilistic models for face recognition from a single example image per person

@article{Liao2004UnifiedPM,
  title={Unified probabilistic models for face recognition from a single example image per person},
  author={Pin Liao and Li Shen},
  journal={Journal of Computer Science and Technology},
  year={2004},
  volume={19},
  pages={383-392}
}
This paper presents a new technique of unified probabilistic models for face recognition from only one single example image per person. The unified models, trained on an obtained training set with multiple samples per person, are used to recognize facial images from another disjoint database with a single sample per person. Variations between facial images are modeled as two unified probabilistic models: within-class variations and between-class variations. Gaussian Mixture Models are used to… CONTINUE READING