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Colours and Faces
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  1. Colours and Faces Tzu-Pei Grace Chen Sidney Fels Human Communication Technologies Lab

  2. Presentation outline • Colours and face relations • offer a good starting point to tackle face metric problem • Results from second pilot tests • Discussion

  3. Role of the human face Identity Communication Attractiveness

  4. Challenge in face recognition Is there a face metric system that can adequately quantify all existing faces?

  5. Why is it difficult in quantifying faces? • Faces are transient • We have sharp face recognition skills • Infinite dimensions and acute recognition makes it hard

  6. Previous work • Face similarity metric • Eigenface [Turk and Pentland] • Shape free face [Craw et al and Bruce et al] • Face attractiveness metric • Beauty mask [Marquardt]

  7. Why is colour metaphor a good starting point? • Multi-dimensional • Well-researched (many systems) • Has less dimension than faces • Good to model from a smaller example

  8. Colour and face relations • Colour-blindness vs. face-blindness • Verbal over-shadowing effect • Colour, emotion and facial expression. • Colour vs. face opponent mechanism • Primary colours and existence of primary faces

  9. Colour blindness and face blindness Blind Normal Colour Face

  10. Opponent mechanism

  11. Verbal foreshadowing • Memory of both face and colours can be impaired if verbalized after studied • For faces, this is due to a lack of words to describe the holistic properties • Verbal descriptions limited to face features • Perceptual ability surpass verbal ability • Same for colours

  12. Plutchik’s model of emotions

  13. Primary faces? • DNA evidence • Localization of mating habit

  14. Second experiment • Investigating two types of axes and two kinds of interface. axes T-S uncorrelated T-S correlated wheel interface dynamic slider

  15. Findings from second pilot test • Subjects refine their match around the range of distance [1,2] from the target • The hump occurs most frequently with correlated sliders

  16. Conclusion from pilot test • For a small face space… axes T-S uncorrelated T-S correlated wheel interface  dynamic slider

  17. Summary Colour metaphor seems like a good starting point to tackle face metric problem Second pilot test- work in progress investigates additive and subtractive face system

  18. The End