Automatic age estimation from facial profile view
In recent years, automatic facial age estimation has gained popularity due to its numerous applications. Much work has been done on frontal images and lately, minimal estimation errors have been achieved on most of the benchmark databases. However, in reality, images obtained in unconstrained enviro...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-12-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2016.0486 |
| _version_ | 1827817060467474432 |
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| author | Ali Maina Bukar Hassan Ugail |
| author_facet | Ali Maina Bukar Hassan Ugail |
| author_sort | Ali Maina Bukar |
| collection | DOAJ |
| description | In recent years, automatic facial age estimation has gained popularity due to its numerous applications. Much work has been done on frontal images and lately, minimal estimation errors have been achieved on most of the benchmark databases. However, in reality, images obtained in unconstrained environments are not always frontal. For instance, when conducting a demographic study or crowd analysis, one may get profile images of the face. To the best of our knowledge, no attempt has been made to estimate ages from the side‐view of face images. Here the authors exploit this by using a pretrained deep residual neural network to extract features, and then utilise a sparse partial least‐squares regression approach to estimate ages. Despite having less information as compared with frontal images, the results show that the extracted deep features achieve a promising performance. |
| first_indexed | 2024-03-12T00:29:03Z |
| format | Article |
| id | doaj.art-424f26f7560347d8abd42de14f8e350f |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:29:03Z |
| publishDate | 2017-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-424f26f7560347d8abd42de14f8e350f2023-09-15T10:25:59ZengWileyIET Computer Vision1751-96321751-96402017-12-0111865065510.1049/iet-cvi.2016.0486Automatic age estimation from facial profile viewAli Maina Bukar0Hassan Ugail1Center for Visual ComputingUniversity of BradfordRichmond RoadBradfordUKCenter for Visual ComputingUniversity of BradfordRichmond RoadBradfordUKIn recent years, automatic facial age estimation has gained popularity due to its numerous applications. Much work has been done on frontal images and lately, minimal estimation errors have been achieved on most of the benchmark databases. However, in reality, images obtained in unconstrained environments are not always frontal. For instance, when conducting a demographic study or crowd analysis, one may get profile images of the face. To the best of our knowledge, no attempt has been made to estimate ages from the side‐view of face images. Here the authors exploit this by using a pretrained deep residual neural network to extract features, and then utilise a sparse partial least‐squares regression approach to estimate ages. Despite having less information as compared with frontal images, the results show that the extracted deep features achieve a promising performance.https://doi.org/10.1049/iet-cvi.2016.0486facial profile viewautomatic facial age estimationfrontal imagesbenchmark databasesdemographic studycrowd analysis |
| spellingShingle | Ali Maina Bukar Hassan Ugail Automatic age estimation from facial profile view IET Computer Vision facial profile view automatic facial age estimation frontal images benchmark databases demographic study crowd analysis |
| title | Automatic age estimation from facial profile view |
| title_full | Automatic age estimation from facial profile view |
| title_fullStr | Automatic age estimation from facial profile view |
| title_full_unstemmed | Automatic age estimation from facial profile view |
| title_short | Automatic age estimation from facial profile view |
| title_sort | automatic age estimation from facial profile view |
| topic | facial profile view automatic facial age estimation frontal images benchmark databases demographic study crowd analysis |
| url | https://doi.org/10.1049/iet-cvi.2016.0486 |
| work_keys_str_mv | AT alimainabukar automaticageestimationfromfacialprofileview AT hassanugail automaticageestimationfromfacialprofileview |