TY - JOUR
T1 - Can an algorithm recognize montage portraits as human faces?
AU - Akgul, Tayfun
PY - 2011/1
Y1 - 2011/1
N2 - The face is one of the most important features of a human being, and its recognition is essential. Humans have to know immediately who they are facing an enemy or a friend? We are most likely genetically coded not only to recognize faces, but also to extract the characteristics of expressions of faces for survival. The need to recognize faces probably accelerated the evolution of human intelligence. Now, due to the significant leaps that computing power took over the past decade, the time has come for machines/computers to mimic the same process the ability to achieve reliable face recognition as successful as human beings or even better. Face recognition is, of course, a fertile ground for the development of new algorithms and applications in a myriad of fields. For example, CNN recently reported [1] that Facebook was testing a new feature that uses face recognition to help in the tagging of photos.
AB - The face is one of the most important features of a human being, and its recognition is essential. Humans have to know immediately who they are facing an enemy or a friend? We are most likely genetically coded not only to recognize faces, but also to extract the characteristics of expressions of faces for survival. The need to recognize faces probably accelerated the evolution of human intelligence. Now, due to the significant leaps that computing power took over the past decade, the time has come for machines/computers to mimic the same process the ability to achieve reliable face recognition as successful as human beings or even better. Face recognition is, of course, a fertile ground for the development of new algorithms and applications in a myriad of fields. For example, CNN recently reported [1] that Facebook was testing a new feature that uses face recognition to help in the tagging of photos.
UR - http://www.scopus.com/inward/record.url?scp=85032751746&partnerID=8YFLogxK
U2 - 10.1109/MSP.2010.938777
DO - 10.1109/MSP.2010.938777
M3 - Article
AN - SCOPUS:85032751746
SN - 1053-5888
VL - 28
SP - 156-158+160
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 1
M1 - 5670621
ER -