3D-based face segmentation using adaptive radius
Face detection and segmentation is an important prerequisite step for many face related processes such as face recognition and facial expression recognition. A method that automatically segments the given faces images irrespective of their different sizes and orientations will not only ease the subs...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
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IEEE
2013
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Online Access: | http://psasir.upm.edu.my/id/eprint/41439/1/3D-based%20face%20segmentation%20using%20adaptive%20radius.pdf |
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author | Rabiu, Habibu Saripan, M. Iqbal Marhaban, Mohammad Hamiruce Mashohor, Syamsiah |
author_facet | Rabiu, Habibu Saripan, M. Iqbal Marhaban, Mohammad Hamiruce Mashohor, Syamsiah |
author_sort | Rabiu, Habibu |
collection | UPM |
description | Face detection and segmentation is an important prerequisite step for many face related processes such as face recognition and facial expression recognition. A method that automatically segments the given faces images irrespective of their different sizes and orientations will not only ease the subsequent face analysis task but will as well enhances its performance. In this work, an adaptive radius based face segmentation method is presented. We utilised the face's intrinsic properties derived from Gaussian and mean curvature of the face surface to segment each face. The UPM-3DFE and Gavab 3D face databases were used in testing the new method. Visual inspection of the result indicated that the novel method can attained up to 99.23% segmentation accuracy. |
first_indexed | 2024-03-06T08:49:54Z |
format | Conference or Workshop Item |
id | upm.eprints-41439 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T08:49:54Z |
publishDate | 2013 |
publisher | IEEE |
record_format | dspace |
spelling | upm.eprints-414392018-10-31T00:42:05Z http://psasir.upm.edu.my/id/eprint/41439/ 3D-based face segmentation using adaptive radius Rabiu, Habibu Saripan, M. Iqbal Marhaban, Mohammad Hamiruce Mashohor, Syamsiah Face detection and segmentation is an important prerequisite step for many face related processes such as face recognition and facial expression recognition. A method that automatically segments the given faces images irrespective of their different sizes and orientations will not only ease the subsequent face analysis task but will as well enhances its performance. In this work, an adaptive radius based face segmentation method is presented. We utilised the face's intrinsic properties derived from Gaussian and mean curvature of the face surface to segment each face. The UPM-3DFE and Gavab 3D face databases were used in testing the new method. Visual inspection of the result indicated that the novel method can attained up to 99.23% segmentation accuracy. IEEE 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/41439/1/3D-based%20face%20segmentation%20using%20adaptive%20radius.pdf Rabiu, Habibu and Saripan, M. Iqbal and Marhaban, Mohammad Hamiruce and Mashohor, Syamsiah (2013) 3D-based face segmentation using adaptive radius. In: 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 8-10 Oct. 2013, Melaka, Malaysia. (pp. 237-240). 10.1109/ICSIPA.2013.6708010 |
spellingShingle | Rabiu, Habibu Saripan, M. Iqbal Marhaban, Mohammad Hamiruce Mashohor, Syamsiah 3D-based face segmentation using adaptive radius |
title | 3D-based face segmentation using adaptive radius |
title_full | 3D-based face segmentation using adaptive radius |
title_fullStr | 3D-based face segmentation using adaptive radius |
title_full_unstemmed | 3D-based face segmentation using adaptive radius |
title_short | 3D-based face segmentation using adaptive radius |
title_sort | 3d based face segmentation using adaptive radius |
url | http://psasir.upm.edu.my/id/eprint/41439/1/3D-based%20face%20segmentation%20using%20adaptive%20radius.pdf |
work_keys_str_mv | AT rabiuhabibu 3dbasedfacesegmentationusingadaptiveradius AT saripanmiqbal 3dbasedfacesegmentationusingadaptiveradius AT marhabanmohammadhamiruce 3dbasedfacesegmentationusingadaptiveradius AT mashohorsyamsiah 3dbasedfacesegmentationusingadaptiveradius |