Contour-as-Face Framework: A Method to Preserve Privacy and Perception

@article{Zhou2020ContourasFaceFA,
  title={Contour-as-Face Framework: A Method to Preserve Privacy and Perception},
  author={Yinghui Zhou and Shasha Lu and Min Ding},
  journal={Journal of Marketing Research},
  year={2020},
  volume={57},
  pages={617 - 639}
}
Consumers and marketers use facial information to make important inferences about others in many business contexts. However, consumers and firms are increasingly concerned about privacy and discrimination. To address privacy–perception trade-offs, the authors propose a novel contour-as-face (CaF) framework that transforms face images into contour images incorporating both the nonoutline and outline features of facial parts. In three empirical studies, the authors (1) compare human perceptions… Expand

Figures and Tables from this paper

Transparent Model of Unabridged Data (TMUD)

References

SHOWING 1-10 OF 63 REFERENCES
GARP-face: Balancing privacy protection and utility preservation in face de-identification
Just the Faces: Exploring the Effects of Facial Features in Print Advertising
Modeling first impressions from highly variable facial images
Preserving privacy by de-identifying face images
The functional basis of face evaluation
Perception of health from facial cues
Holistic Face Processing is Induced by Shape and Texture
Understanding evaluation of faces on social dimensions
...
1
2
3
4
5
...