Computational Cosmetic Quality Assessment of Human Hair in Low Magnifications

Computational Cosmetic Quality Assessment of Human Hair in Low Magnifications

We take advantage of human hair-specific geometry to visualize sparse submicron and micron-sized cuticle peelings with imaging dark-field scattering at highly oblique tip-side illumination. The paper shows that the statistics of these features can directly estimate hair quality is much lower magnifi...

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Bibliographic Details
Main Authors: Barmak Heshmat, Krishna Rastogi, Ramesh Raskar, Ik Hyun Lee
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Hair assessment
computational imaging
low magnification
Online Access:https://ieeexplore.ieee.org/document/8752218/

Internet

https://ieeexplore.ieee.org/document/8752218/

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