TY  - CONF
AU  - Sergio Escalera
AU  - Mercedes Torres-Torres
AU  - Brais Martinez
AU  - Xavier Baro
AU  - Hugo Jair Escalante
AU  - Isabelle Guyon
AU  - Georgios Tzimiropoulos
AU  - Ciprian Corneanu
AU  - Marc Oliu  Simón
AU  - Mohammad Ali Bagheri
AU  - Michel Valstar
A2  - CVPRW
PY  - 2016//
TI  - ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016
BT  - 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops
N2  - We present the 2016 ChaLearn Looking at People and Faces of the World Challenge and Workshop, which ran three competitions on the common theme of face analysis from still images. The first one, Looking at People, addressed age estimation, while the second and third competitions, Faces of the World, addressed accessory classification and smile and gender classification, respectively. We present two crowd-sourcing methodologies used to collect manual annotations. A custom-build application was used to collect and label data about the apparent age of people (as opposed to the real age). For the Faces of the World data, the citizen-science Zooniverse platform was used. This paper summarizes the three challenges and the data used, as well as the results achieved by the participants of the competitions. Details of the ChaLearn LAP FotW competitions can be found at http://gesture.chalearn.org.
L1  - http://refbase.cvc.uab.es/files/ETM2016.pdf
UR  - http://dx.doi.org/10.1109/CVPRW.2016.93
N1  - HuPBA;MV;
ID  - Sergio Escalera2016
ER  -