Recognition of face profiles from the MUGSHOT database using a hybrid connectionist/HMM approach

F. Wallhoff, S. Müller, G. Rigoll

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations

Abstract

Biometrical systems have been the focus of concentrated research efforts in recent years. These systems can be used to identify a person or to grant a person access to something, e.g. a room. Face recognition technology has reached a level of performance at which frontal-view recognition of faces with slightly different facial expressions, view angles or head poses can be considered nearly solved. In this paper we present a novel hybrid ANN/HMM approach to recognize a person from that person's profile view (90°) although the recognition system is trained with only one single frontal view of the person. Such a system can be useful for mugshot identification where a victim or witness has seen the criminal from the side only. Our approach uses neural methods in order to synthesize a profile out of the frontal view using no additional knowledge about the 3D shape and structure of a human head. The classification of the generated images is accomplished using a statistical HMM-approach.

Original languageEnglish
Pages (from-to)1489-1492
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
StatePublished - 2001
Externally publishedYes
Event2001 IEEE International Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States
Duration: 7 May 200111 May 2001

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