TY - GEN
T1 - Intelligent face locator for smartphone
AU - Teoh, Teik Toe
AU - Nguwi, Yok Yen
AU - Cho, Siu Yeung
PY - 2009
Y1 - 2009
N2 - The market for smartphones is set for serious expansion. Juniper Research [3] is predicting the annual sales of smartphones will swell to 300 million by 2013 - up from about 153 million in year 2008, a rise of around 95 percent. Therefore, the development of mobile phone software well deserves wider attention. This paper introduces a real-time face processing application that was tested in Windows Mobile environment. This work is targeted towards the development of an efficient and intelligent face recognition system. The system is capable of locating the face region using derivative-based filtering, and classifying human face through the use of AdaBoost classifier. The motivation behind this work is that we aim to develop a robust model that can help to locate face for a portable face recognition application. The experiments carried out show that we have achieved the features of mobile application: speed and efficiency, that is able to deploy facial recognition into smartphone.
AB - The market for smartphones is set for serious expansion. Juniper Research [3] is predicting the annual sales of smartphones will swell to 300 million by 2013 - up from about 153 million in year 2008, a rise of around 95 percent. Therefore, the development of mobile phone software well deserves wider attention. This paper introduces a real-time face processing application that was tested in Windows Mobile environment. This work is targeted towards the development of an efficient and intelligent face recognition system. The system is capable of locating the face region using derivative-based filtering, and classifying human face through the use of AdaBoost classifier. The motivation behind this work is that we aim to develop a robust model that can help to locate face for a portable face recognition application. The experiments carried out show that we have achieved the features of mobile application: speed and efficiency, that is able to deploy facial recognition into smartphone.
UR - http://www.scopus.com/inward/record.url?scp=77950221840&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2009.5218721
DO - 10.1109/ISIE.2009.5218721
M3 - Conference contribution
AN - SCOPUS:77950221840
SN - 9781424443499
T3 - IEEE International Symposium on Industrial Electronics
SP - 1662
EP - 1667
BT - Proceedings - IEEE ISIE 2009, IEEE International Symposium on Industrial Electronics
T2 - IEEE International Symposium on Industrial Electronics, IEEE ISIE 2009
Y2 - 5 July 2009 through 8 July 2009
ER -