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An efficient non-occluded face area detection method under unconstrained environment of smartphone database

Occlusion is one of the most challenging problems for recognizing faces captured in unconstrained conditions. This paper focuses on direct detect the useful part in the face which used for features extraction process. To solve occlusion problem and detect un occluded face parts, a Non-Occluded Face...

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Main Authors: Hassan, Noor Amjed, Khalid, Fatimah, O. K. Rahmat, Rahmita Wirza, Madzin, Hizmawati
Format: Conference or Workshop Item
Language:English
Published: IEEE 2019
Online Access:http://psasir.upm.edu.my/id/eprint/78095/1/An%20efficient%20non-occluded%20face%20area%20detection%20method%20under%20unconstrained%20environment%20of%20smartphone%20database.pdf
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id oai:psasir.upm.edu.my:78095
record_format eprints
spelling oai:psasir.upm.edu.my:78095 http://psasir.upm.edu.my/id/eprint/78095/ An efficient non-occluded face area detection method under unconstrained environment of smartphone database Hassan, Noor Amjed Khalid, Fatimah O. K. Rahmat, Rahmita Wirza Madzin, Hizmawati Occlusion is one of the most challenging problems for recognizing faces captured in unconstrained conditions. This paper focuses on direct detect the useful part in the face which used for features extraction process. To solve occlusion problem and detect un occluded face parts, a Non-Occluded Face Area Detection (NOFAD) method based on geometric features is proposed. The performance of the proposed method is evaluated on the SFV and MOBIO databases, and the experimental results show the outperformance of the proposed method in extracting the non-occluded facial area, realising an accuracy rate of 99.4% and 99.1%, respectively. IEEE 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/78095/1/An%20efficient%20non-occluded%20face%20area%20detection%20method%20under%20unconstrained%20environment%20of%20smartphone%20database.pdf Hassan, Noor Amjed and Khalid, Fatimah and O. K. Rahmat, Rahmita Wirza and Madzin, Hizmawati (2019) An efficient non-occluded face area detection method under unconstrained environment of smartphone database. In: 2019 IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA 2019), 17-19 Sept. 2019, Kuala Lumpur, Malaysia. (pp. 291-295). 10.1109/ICSIPA45851.2019.8977765
institution UPM IR
collection UPM IR
language English
description Occlusion is one of the most challenging problems for recognizing faces captured in unconstrained conditions. This paper focuses on direct detect the useful part in the face which used for features extraction process. To solve occlusion problem and detect un occluded face parts, a Non-Occluded Face Area Detection (NOFAD) method based on geometric features is proposed. The performance of the proposed method is evaluated on the SFV and MOBIO databases, and the experimental results show the outperformance of the proposed method in extracting the non-occluded facial area, realising an accuracy rate of 99.4% and 99.1%, respectively.
format Conference or Workshop Item
author Hassan, Noor Amjed
Khalid, Fatimah
O. K. Rahmat, Rahmita Wirza
Madzin, Hizmawati
spellingShingle Hassan, Noor Amjed
Khalid, Fatimah
O. K. Rahmat, Rahmita Wirza
Madzin, Hizmawati
An efficient non-occluded face area detection method under unconstrained environment of smartphone database
author_facet Hassan, Noor Amjed
Khalid, Fatimah
O. K. Rahmat, Rahmita Wirza
Madzin, Hizmawati
author_sort Hassan, Noor Amjed
title An efficient non-occluded face area detection method under unconstrained environment of smartphone database
title_short An efficient non-occluded face area detection method under unconstrained environment of smartphone database
title_full An efficient non-occluded face area detection method under unconstrained environment of smartphone database
title_fullStr An efficient non-occluded face area detection method under unconstrained environment of smartphone database
title_full_unstemmed An efficient non-occluded face area detection method under unconstrained environment of smartphone database
title_sort efficient non-occluded face area detection method under unconstrained environment of smartphone database
publisher IEEE
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/78095/1/An%20efficient%20non-occluded%20face%20area%20detection%20method%20under%20unconstrained%20environment%20of%20smartphone%20database.pdf
_version_ 1819299492189437952
score 13.4562235

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