DocumentCode
2118224
Title
LDA-based face recognition using multiple distance training face images with low user cooperation
Author
Hae-Min Moon ; Dongjin Choi ; Pankoo Kim ; Sung Bum Pan
Author_Institution
Dept. of Inf. & Commun. Eng., Chosun Univ., Gwangju, South Korea
fYear
2015
fDate
9-12 Jan. 2015
Firstpage
7
Lastpage
8
Abstract
The LDA-based face recognition using face images by actual distance as training images showed good performance. However, it causes user inconvenience as it requires the user to move multiple distance in person to acquire face images for initial user registration. In this paper, LDA-based face recognition applicable to robotic environments is proposed. The proposed method can get face images by distance by zooming in on face of users without their cooperation and use those images for training. The experimental results show that the face recognition performance of the proposed method was as good as that of the method using face images by distance, which are taken after users are located at fixed positions within a fixed distance, for training.
Keywords
face recognition; statistical analysis; LDA-based face recognition; linear discriminant analysis; low user cooperation; multiple distance training face images; robotic environments; Cameras; Face; Face recognition; Integrated optics; Optical imaging; Robots; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4799-7542-6
Type
conf
DOI
10.1109/ICCE.2015.7066297
Filename
7066297
Link To Document