Seznam

Téma:Visual age and gender estimation using context information
Vedoucí:
Vypsáno jako:Diplomová práce,Bakalářská práce
Popis:

Estimation of human age and gender form images is a challenging problem
in computer vision. The prevalent approach is make the estimation based
on features computed solely from the area around the face. Although the
face is most informative other parts of the human body (e.g. clothing)
can provide additional clues for discriminating gender as well as age
categories. The goal of this work is to verify this idea by learning
predictors of age and gender using visible parts of the human body other
than a face.
Pokyny:A detailed description of the method to implement and data will be supplied by the supervisor.
Literatura:N., Ramanathan and R. Chellappa. Computational methods for modeling facial aging: Asurvey. 2009.
Vypsáno dne:13.10.2015