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...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/78095/ 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_ | 1848858412002050048 |
|---|---|
| author | Hassan, Noor Amjed Khalid, Fatimah O. K. Rahmat, Rahmita Wirza Madzin, Hizmawati |
| author_facet | Hassan, Noor Amjed Khalid, Fatimah O. K. Rahmat, Rahmita Wirza Madzin, Hizmawati |
| author_sort | Hassan, Noor Amjed |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T12:13:02Z |
| format | Conference or Workshop Item |
| id | upm-78095 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:13:02Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-780952020-06-03T06:31:37Z 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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/78095/ http://psasir.upm.edu.my/id/eprint/78095/ http://psasir.upm.edu.my/id/eprint/78095/1/An%20efficient%20non-occluded%20face%20area%20detection%20method%20under%20unconstrained%20environment%20of%20smartphone%20database.pdf |