Homologous multi-points warping: an algorithm for automatic 3D facial landmark
Over the decade scientists have been researching to know whether face recognition is performed holistically or with local feature analysis which has led to the proposition of various advanced methods in face recognition, especially using facial landmark. The current facial landmark methods in 3D are...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/78146/ http://psasir.upm.edu.my/id/eprint/78146/1/Homologous%20multi-points%20warping%20an%20algorithm%20for%20automatic%203D%20facial%20landmark.pdf |
| _version_ | 1848858426468204544 |
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| author | Opeoluwa, Agbolade Olalekan Ahmad Nazri, Azree Shahrel Yaakob, Razali Abd Ghani, Abdul Azim Cheah, Yoke Kqueen |
| author_facet | Opeoluwa, Agbolade Olalekan Ahmad Nazri, Azree Shahrel Yaakob, Razali Abd Ghani, Abdul Azim Cheah, Yoke Kqueen |
| author_sort | Opeoluwa, Agbolade Olalekan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Over the decade scientists have been researching to know whether face recognition is performed holistically or with local feature analysis which has led to the proposition of various advanced methods in face recognition, especially using facial landmark. The current facial landmark methods in 3D are mathematically complex, contain insufficient landmarks, lack homology and full of localization error due to manual annotation. This paper proposes an Automatic Homologous Multi-Points Warping (AHMW) for 3D facial landmarking, experimented on three datasets using 500 landmarks (16 anatomical fixed points and 484 sliding semi-landmarks) by building a template mesh as a reference object and thereby applies the template to each of the targets on three datasets. The results show that the method is robust with minimum localization error (Stirling/ESRC:0.077; Bosphorus:0.088; and FRGC v2: 0.083). |
| first_indexed | 2025-11-15T12:13:15Z |
| format | Conference or Workshop Item |
| id | upm-78146 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:13:15Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-781462020-06-15T06:54:09Z http://psasir.upm.edu.my/id/eprint/78146/ Homologous multi-points warping: an algorithm for automatic 3D facial landmark Opeoluwa, Agbolade Olalekan Ahmad Nazri, Azree Shahrel Yaakob, Razali Abd Ghani, Abdul Azim Cheah, Yoke Kqueen Over the decade scientists have been researching to know whether face recognition is performed holistically or with local feature analysis which has led to the proposition of various advanced methods in face recognition, especially using facial landmark. The current facial landmark methods in 3D are mathematically complex, contain insufficient landmarks, lack homology and full of localization error due to manual annotation. This paper proposes an Automatic Homologous Multi-Points Warping (AHMW) for 3D facial landmarking, experimented on three datasets using 500 landmarks (16 anatomical fixed points and 484 sliding semi-landmarks) by building a template mesh as a reference object and thereby applies the template to each of the targets on three datasets. The results show that the method is robust with minimum localization error (Stirling/ESRC:0.077; Bosphorus:0.088; and FRGC v2: 0.083). IEEE 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/78146/1/Homologous%20multi-points%20warping%20an%20algorithm%20for%20automatic%203D%20facial%20landmark.pdf Opeoluwa, Agbolade Olalekan and Ahmad Nazri, Azree Shahrel and Yaakob, Razali and Abd Ghani, Abdul Azim and Cheah, Yoke Kqueen (2019) Homologous multi-points warping: an algorithm for automatic 3D facial landmark. In: 2019 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2019), 29 June 2019, Shah Alam, Selangor, Malaysia. (pp. 79-84). 10.1109/I2CACIS.2019.8825072 |
| spellingShingle | Opeoluwa, Agbolade Olalekan Ahmad Nazri, Azree Shahrel Yaakob, Razali Abd Ghani, Abdul Azim Cheah, Yoke Kqueen Homologous multi-points warping: an algorithm for automatic 3D facial landmark |
| title | Homologous multi-points warping: an algorithm for automatic 3D facial landmark |
| title_full | Homologous multi-points warping: an algorithm for automatic 3D facial landmark |
| title_fullStr | Homologous multi-points warping: an algorithm for automatic 3D facial landmark |
| title_full_unstemmed | Homologous multi-points warping: an algorithm for automatic 3D facial landmark |
| title_short | Homologous multi-points warping: an algorithm for automatic 3D facial landmark |
| title_sort | homologous multi-points warping: an algorithm for automatic 3d facial landmark |
| url | http://psasir.upm.edu.my/id/eprint/78146/ http://psasir.upm.edu.my/id/eprint/78146/ http://psasir.upm.edu.my/id/eprint/78146/1/Homologous%20multi-points%20warping%20an%20algorithm%20for%20automatic%203D%20facial%20landmark.pdf |