Title :
Gender-aided people recognition in photo collections
Author :
Brenner, Markus ; Izquierdo, Ebroul
Author_Institution :
Sch. of EECS, Queen Mary Univ. of London, London, UK
fDate :
Sept. 30 2013-Oct. 2 2013
Abstract :
We show how to recognize people based on their faces in Consumer Photo Collections while also incorporating context in the form of gender information. We devise and explore a unified framework that has a graphical model along a distance-based face description method at its core. We jointly recognize people across an entire photo collection to also consider the specifics of photos that depict multiple people. Experiments on two datasets demonstrate and validate the effectiveness of our probabilistic approach compared to traditional methods that do not consider gender information.
Keywords :
face recognition; probability; distance-based face description method; face recognition; gender information; gender-aided people recognition; graphical model; photo collection; probabilistic approach; Training;
Conference_Titel :
Multimedia Signal Processing (MMSP), 2013 IEEE 15th International Workshop on
Conference_Location :
Pula
DOI :
10.1109/MMSP.2013.6659260