A face image database for evaluating out-of-focus blur

Qi Han; Meihui Zhang; Chen Song; Zhifang Wang; Xiamu Niu

doi:10.1109/ISDA.2008.300

A face image database for evaluating out-of-focus blur

Qi Han^*, Meihui Zhang, Chen Song, Zhifang Wang, Xiamu Niu

^*Corresponding author for this work

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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 outof-focus blur on the performance of face recognition system, a new face database concentrating on the factor of out-offocus 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.

Original language	English
Title of host publication	Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Pages	277-282
Number of pages	6
DOIs	https://doi.org/10.1109/ISDA.2008.300
Publication status	Published - 2008
Externally published	Yes
Event	8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 - Kaohsiung, Taiwan, Province of China Duration: 26 Nov 2008 → 28 Nov 2008

Publication series

Name	Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Volume	2

Conference

Conference	8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Country/Territory	Taiwan, Province of China
City	Kaohsiung
Period	26/11/08 → 28/11/08

Access to Document

10.1109/ISDA.2008.300

Cite this

Han, Q., Zhang, M., Song, C., Wang, Z., & Niu, X. (2008). A face image database for evaluating out-of-focus blur. In Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 (pp. 277-282). Article 4696344 (Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008; Vol. 2). https://doi.org/10.1109/ISDA.2008.300

@inproceedings{ccb4575f154947f78461905d627c9b3d,

title = "A face image database for evaluating out-of-focus blur",

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 outof-focus blur on the performance of face recognition system, a new face database concentrating on the factor of out-offocus 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.",

author = "Qi Han and Meihui Zhang and Chen Song and Zhifang Wang and Xiamu Niu",

year = "2008",

doi = "10.1109/ISDA.2008.300",

language = "English",

isbn = "9780769533827",

series = "Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008",

pages = "277--282",

booktitle = "Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008",

note = "8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 ; Conference date: 26-11-2008 Through 28-11-2008",

}

Han, Q, Zhang, M, Song, C, Wang, Z & Niu, X 2008, A face image database for evaluating out-of-focus blur. in Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008., 4696344, Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008, vol. 2, pp. 277-282, 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008, Kaohsiung, Taiwan, Province of China, 26/11/08. https://doi.org/10.1109/ISDA.2008.300

A face image database for evaluating out-of-focus blur. / Han, Qi; Zhang, Meihui; Song, Chen et al.
Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008. 2008. p. 277-282 4696344 (Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A face image database for evaluating out-of-focus blur

AU - Han, Qi

AU - Zhang, Meihui

AU - Song, Chen

AU - Wang, Zhifang

AU - Niu, Xiamu

PY - 2008

Y1 - 2008

N2 - 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 outof-focus blur on the performance of face recognition system, a new face database concentrating on the factor of out-offocus 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.

AB - 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 outof-focus blur on the performance of face recognition system, a new face database concentrating on the factor of out-offocus 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.

UR - http://www.scopus.com/inward/record.url?scp=67449116626&partnerID=8YFLogxK

U2 - 10.1109/ISDA.2008.300

DO - 10.1109/ISDA.2008.300

M3 - Conference contribution

AN - SCOPUS:67449116626

SN - 9780769533827

T3 - Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008

SP - 277

EP - 282

BT - Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008

T2 - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008

Y2 - 26 November 2008 through 28 November 2008

ER -

A face image database for evaluating out-of-focus blur

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this