DocumentCode :
2480922
Title :
A biometric database with rotating head videos and hand-drawn face sketches
Author :
Nizami, H. ; Adkins-Hill, Jeremy P. ; Zhang, Yong ; Sullins, John R. ; McCullough, Christine ; Canavan, Shaun ; Yin, Lijun
Author_Institution :
Dept. of Comput. Sci. & Inf. Syst., Youngstown State Univ., Youngstown, OH, USA
fYear :
2009
fDate :
28-30 Sept. 2009
Firstpage :
1
Lastpage :
6
Abstract :
The past decade has witnessed a significant progress in biometric technologies, to a large degree, due to the availability of a wide variety of public databases that enable benchmark performance evaluations. In this paper, we describe a new database that includes: (i) rotating head videos of 259 subjects; (ii) 250 hand-drawn face sketches of 50 subjects. Rotating head videos were acquired under both normal indoor lighting and shadow conditions. Each video captured four expressions: neutral, smile, surprise, and anger. For each subject, video frames of ten pose angles were manually labeled using reference images and empirical rules, to facilitate the investigation of multi-frame fusion. The database can also be used to study 3D face recognition by reconstructing a 3D face model from videos. In addition, this is the only currently available database that has a large number of face sketches drawn by multiple artists. The face sketches are valuable resource for many researches, such as forensic analysis of eyewitness recollection, impact assessment of face degradation on recognition rate, as well as comparative evaluation of sketch recognitions by humans and algorithms.
Keywords :
emotion recognition; face recognition; image fusion; image reconstruction; solid modelling; video databases; video signal processing; 3D face model reconstruction; 3D face recognition; anger expression; benchmark performance evaluation; biometric database technology; empirical rule; eyewitness recollection; face degradation; forensic analysis; hand-drawn face sketch recognition; impact assessment; multiframe fusion; multiple artist; neutral expression; normal indoor lighting; public database; reference image; rotating head video; shadow condition; smile expression; surprise expression; video capture; Algorithm design and analysis; Availability; Biometrics; Degradation; Face recognition; Forensics; Head; Image databases; Image reconstruction; Videos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics: Theory, Applications, and Systems, 2009. BTAS '09. IEEE 3rd International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-5019-0
Electronic_ISBN :
978-1-4244-5020-6
Type :
conf
DOI :
10.1109/BTAS.2009.5339043
Filename :
5339043
Link To Document :
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