Partial face detection for continuous authentication

Upal Mahbub; Vishal M. Patel; Deepak Chandra; Brandon Barbello; Rama Chellappa

doi:10.1109/ICIP.2016.7532908

Partial face detection for continuous authentication

Upal Mahbub
, Vishal M. Patel
, Deepak Chandra
, Brandon Barbello
, Rama Chellappa

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

Abstract

In this paper, a part-based technique for real time detection of users' faces on mobile devices is proposed. This method is specifically designed for detecting partially cropped and occluded faces captured using a smartphone's front-facing camera for continuous authentication. The key idea is to detect facial segments in the frame and cluster the results to obtain the region which is most likely to contain a face. Extensive experimentation on a mobile dataset of 50 users shows that our method performs better than many state-of-the-art face detection methods in terms of accuracy and processing speed.

Original language	English (US)
Title of host publication	2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
Publisher	IEEE Computer Society
Pages	2991-2995
Number of pages	5
ISBN (Electronic)	9781467399616
DOIs	https://doi.org/10.1109/ICIP.2016.7532908
State	Published - Aug 3 2016
Externally published	Yes
Event	23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States Duration: Sep 25 2016 → Sep 28 2016

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2016-August
ISSN (Print)	1522-4880

Conference

Conference	23rd IEEE International Conference on Image Processing, ICIP 2016
Country/Territory	United States
City	Phoenix
Period	9/25/16 → 9/28/16

Keywords

Active authentication
Facial segments
Partial face detection
Smartphone front-camera images processing

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2016.7532908

Cite this

Mahbub, U., Patel, V. M., Chandra, D., Barbello, B., & Chellappa, R. (2016). Partial face detection for continuous authentication. In 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (pp. 2991-2995). Article 7532908 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2016-August). IEEE Computer Society. https://doi.org/10.1109/ICIP.2016.7532908

Partial face detection for continuous authentication. / Mahbub, Upal; Patel, Vishal M.; Chandra, Deepak et al.
2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings. IEEE Computer Society, 2016. p. 2991-2995 7532908 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2016-August).

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

Mahbub, U, Patel, VM, Chandra, D, Barbello, B & Chellappa, R 2016, Partial face detection for continuous authentication. in 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings., 7532908, Proceedings - International Conference on Image Processing, ICIP, vol. 2016-August, IEEE Computer Society, pp. 2991-2995, 23rd IEEE International Conference on Image Processing, ICIP 2016, Phoenix, United States, 9/25/16. https://doi.org/10.1109/ICIP.2016.7532908

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title = "Partial face detection for continuous authentication",

abstract = "In this paper, a part-based technique for real time detection of users' faces on mobile devices is proposed. This method is specifically designed for detecting partially cropped and occluded faces captured using a smartphone's front-facing camera for continuous authentication. The key idea is to detect facial segments in the frame and cluster the results to obtain the region which is most likely to contain a face. Extensive experimentation on a mobile dataset of 50 users shows that our method performs better than many state-of-the-art face detection methods in terms of accuracy and processing speed.",

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AB - In this paper, a part-based technique for real time detection of users' faces on mobile devices is proposed. This method is specifically designed for detecting partially cropped and occluded faces captured using a smartphone's front-facing camera for continuous authentication. The key idea is to detect facial segments in the frame and cluster the results to obtain the region which is most likely to contain a face. Extensive experimentation on a mobile dataset of 50 users shows that our method performs better than many state-of-the-art face detection methods in terms of accuracy and processing speed.

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Partial face detection for continuous authentication

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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