Recognizing Rotated Faces From Frontal and Side Views: An Approach Toward Effective Use of Mugshot Databases

Loading...
Thumbnail Image
File version
Author(s)
Zhang, Xiaozheng
Gao, Yongsheng
Leung, Maylor KH
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)

Pierre Moulin (Editor-in-Chief)

Date
2008
Size

3676092 bytes

File type(s)

application/pdf

Location
License
Abstract

Mug shot photography has been used to identify criminals by the police for more than a century. However, the common scenario of face recognition using frontal and side-view mug shots as gallery remains largely uninvestigated in computerized face recognition across pose. This paper presents a novel appearance-based approach using frontal and sideface images to handle pose variations in face recognition, which has great potential in forensic and security applications involving police mugshot databases. Virtual views in different poses are generated in two steps: 1) shape modelling and 2) texture synthesis. In the shape modelling step, a multilevel variation minimization approach is applied to generate personalized 3-D face shapes. In the texture synthesis step, face surface properties are analyzed and virtual views in arbitrary viewing conditions are rendered, taking diffuse and specular reflections into account. Appearance-based face recognition is performed with the augmentation of synthesized virtual views covering possible viewing angles to recognize probe views in arbitrary conditions. The encouraging experimental results demonstrated that the proposed approach by using frontal and side-view images is a feasible and effective solution to recognizing rotated faces, which can lead to a better and practical use of existing forensic databases in computerized human face-recognition applications.

Journal Title

IEEE Transactions on Information Forensics and Security

Conference Title
Book Title
Edition
Volume

3

Issue

4

Thesis Type
Degree Program
School
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Item Access Status
Note
Access the data
Related item(s)
Subject

Information and computing sciences

Engineering

Persistent link to this record
Citation
Collections