Abstract
© 2016 IEEE.Skin appearance is almost universally the object of gender-related expectations and stereotypes. This not with standing, remarkably little work has been done on establishing quantitatively whether skin texture can be used for gender discrimination. We present a detailed analysis of the skin texture of 43 subjects based on two complementary imaging modalities afforded by a visible-light dermoscope and the recently developed Epsilon sensor for capacitive imaging. We consider an array of established texture features in combination with two supervised classification techniques (1-NN and SVM) and a state-of-the-art unsupervised approach (t-SNE). A statistical analysis of the results suggests that skin microtexture carries very little information on gender.
| Original language | English |
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| DOIs | |
| Publication status | Published - 17 Jan 2017 |
| Event | 6th International Conference on Image Processing Theory Tools and Applications (IPTA), 2016 - Duration: 17 Jan 2017 → … |
Conference
| Conference | 6th International Conference on Image Processing Theory Tools and Applications (IPTA), 2016 |
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| Period | 17/01/17 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 5 Gender Equality
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