Multiresolution Face Recognition through Virtual Faces Generation Using a Single Image for One Person
Joint Authors
Kim, Min-Gu
Moon, Hae-Min
Shin, JuHyun
Pan, Sung Bum
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
In recent years, various studies have been conducted to provide a real-time service based on face recognition in Internet of things environments such as in a smart home environment.
In particular, face recognition in a network-based surveillance camera environment can significantly change the performance or utilization of face recognition technology because the size of image information to be transmitted varies depending on the communication capabilities.
In this paper, we propose a multiresolution face recognition method that uses virtual facial images by distance as learning to solve the problem of low recognition rate caused by communication, camera, and distance change.
Face images for each virtual distance are generated through clarity and image degradation for each resolution, using a single high-resolution face image.
The proposed method achieved a performance that was 5.9% more accurate than methods using MPCA and SVM, when LDA and the Euclidean distance were employed for a DB that was configured using faces that were acquired from the real environments of five different streets.
American Psychological Association (APA)
Moon, Hae-Min& Kim, Min-Gu& Shin, JuHyun& Pan, Sung Bum. 2018. Multiresolution Face Recognition through Virtual Faces Generation Using a Single Image for One Person. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1216241
Modern Language Association (MLA)
Moon, Hae-Min…[et al.]. Multiresolution Face Recognition through Virtual Faces Generation Using a Single Image for One Person. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1216241
American Medical Association (AMA)
Moon, Hae-Min& Kim, Min-Gu& Shin, JuHyun& Pan, Sung Bum. Multiresolution Face Recognition through Virtual Faces Generation Using a Single Image for One Person. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1216241
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216241