Title :
Learning from 1,000,000 user-uploaded faces
Author :
Manashirov, Benzakhar ; Aarabi, Parham
Author_Institution :
ModiFace Inc., Toronto, ON, Canada
fDate :
June 28 2009-July 3 2009
Abstract :
This paper combines two face detection algorithms to create a hybrid method which is more accurate and robust than either of the original methods. The face detectors are compared using a database of 1,000 user uploaded photos, which is a small subset of a much larger 1 million photo database that was generated through a popular online application that enables people to upload facial photos and to accurately locate the face in each photo.
Keywords :
face recognition; learning (artificial intelligence); face detection algorithm; hybrid method; photo database; user-uploaded photos; Databases; Detectors; Face detection; Head; Humans; Internet; Robustness; Shape; Switches; Videoconference;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202751
