Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Demographic Classification Using Skin RGB Albedo Image Analysis
Year:2017
Research Areas
  • Engineering
Information
Abstract
Age, gender and skin type classification of demographics using common imaging techniques is costly and does not provide good performance. We propose an approach based on skin RGB albedo image analysis for demographic classification. The diffuse albedo uses inherent skin properties which prevail over illumination conditions variation despite being based on visual perception. The method was tested using skin samples from multiple facial regions to evaluate their performance for classification. Moreover, the application of a fusion algorithm using albedo data from each of the facial regions improved the overall performance resulting in rates above 90% accuracy in age, gender and skin type categories.
International
Si
Congress
19th International Conference. ICIAP 2017.
960
Place
Catania, Italy
Reviewers
Si
ISBN/ISSN
978-3-319-68547-2
https://doi.org/10.1007/978-3-319-68548-9_14
Start Date
11/09/2017
End Date
15/09/2017
From page
149
To page
159
19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II
Participants
  • Autor: Wei Chen
  • Autor: Miguel Viana Matesanz (UPM)
  • Autor: Mohsen Ardabilian
  • Autor: Abdel-Malek Zine
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT
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