NDLI: A Face Image Database for Evaluating Out-of-Focus Blur

Content Provider	IEEE Xplore Digital Library
Author	Qi Han Meihui Zhang Chen Song Zhifang Wang Xiamu Niu
Copyright Year	2008
Description	Author affiliation: Inf. Countermeasure Tech. Res. Inst., Harbin Inst. of Technol., Harbin (Qi Han; Meihui Zhang; Chen Song; Zhifang Wang; Xiamu Niu)
Abstract	The face image database is essential to evaluate the face detection and recognition algorithms. Out-of-focus blur is one of the important factors which may influence the detection and recognition results. To investigate the effect of out-of-focus blur on the performance of face recognition system, a new face database concentrating on the factor of out-of-focus blur was built. Two typical acquisition facilities - PC camera and professional digital camera - were used. The whole focus range was divided into 11 intervals. 628 images were gathered with similar pose and expression, but with strictly controlled different definitions. The features and building process of the database are presented in this paper. Then evaluation of the blur assessment algorithms are raised. A suggestion of the usage of the blur assessment algorithms is proposed.
Starting Page	277
Ending Page	282
File Size	2819874
Page Count	6
File Format	PDF
ISBN	9780769533827
DOI	10.1109/ISDA.2008.300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-26
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machine learning algorithms Image recognition Face recognition Spatial databases Digital cameras Face detection Face image database Image databases Focusing out-of-focus blur blur evaluation Intelligent systems Deductive databases
Content Type	Text
Resource Type	Article

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