Reconstruction of 3D faces by shape estimation and texture interpolation
This paper aims to address the ill-posed problem of reconstructing 3D faces from single 2D face images. An extended Tikhonov regularization method is connected with the standard 3D morphable model in order to reconstruct the 3D face shapes from a small set of 2D facial points. Further, by interpol...
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Kebangsaan Malaysia
2014
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| Online Access: | http://journalarticle.ukm.my/6805/ http://journalarticle.ukm.my/6805/ http://journalarticle.ukm.my/6805/1/4802-11322-1-PB.pdf |
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ukm-68052016-12-14T06:42:14Z http://journalarticle.ukm.my/6805/ Reconstruction of 3D faces by shape estimation and texture interpolation Maghari,, Ashraf Y. A. Venkat, Ibrahim Belaton, Bahari This paper aims to address the ill-posed problem of reconstructing 3D faces from single 2D face images. An extended Tikhonov regularization method is connected with the standard 3D morphable model in order to reconstruct the 3D face shapes from a small set of 2D facial points. Further, by interpolating the input 2D texture with the model texture and warping the interpolated texture to the reconstructed face shapes, 3D face reconstruction is achieved. For the texture warping, the 2D face deformation has been learned from the model texture using a set of facial landmarks. Our experimental results justify the robustness of the proposed approach with respect to the reconstruction of realistic 3D face shapes. Penerbit Universiti Kebangsaan Malaysia 2014-06 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/6805/1/4802-11322-1-PB.pdf Maghari,, Ashraf Y. A. and Venkat, Ibrahim and Belaton, Bahari (2014) Reconstruction of 3D faces by shape estimation and texture interpolation. Asia-Pacific Journal of Information Technology and Multimedia, 3 (1). pp. 15-21. ISSN 2289-2192 http://ejournal.ukm.my/apjitm |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Kebangasaan Malaysia |
| building |
UKM Institutional Repository |
| collection |
Online Access |
| language |
English |
| description |
This paper aims to address the ill-posed problem of reconstructing 3D faces from single 2D face images. An
extended Tikhonov regularization method is connected with the standard 3D morphable model in order to
reconstruct the 3D face shapes from a small set of 2D facial points. Further, by interpolating the input 2D
texture with the model texture and warping the interpolated texture to the reconstructed face shapes, 3D face
reconstruction is achieved. For the texture warping, the 2D face deformation has been learned from the model
texture using a set of facial landmarks. Our experimental results justify the robustness of the proposed approach
with respect to the reconstruction of realistic 3D face shapes. |
| format |
Article |
| author |
Maghari,, Ashraf Y. A. Venkat, Ibrahim Belaton, Bahari |
| spellingShingle |
Maghari,, Ashraf Y. A. Venkat, Ibrahim Belaton, Bahari Reconstruction of 3D faces by shape estimation and texture interpolation |
| author_facet |
Maghari,, Ashraf Y. A. Venkat, Ibrahim Belaton, Bahari |
| author_sort |
Maghari,, Ashraf Y. A. |
| title |
Reconstruction of 3D faces by shape estimation and texture interpolation |
| title_short |
Reconstruction of 3D faces by shape estimation and texture interpolation |
| title_full |
Reconstruction of 3D faces by shape estimation and texture interpolation |
| title_fullStr |
Reconstruction of 3D faces by shape estimation and texture interpolation |
| title_full_unstemmed |
Reconstruction of 3D faces by shape estimation and texture interpolation |
| title_sort |
reconstruction of 3d faces by shape estimation and texture interpolation |
| publisher |
Penerbit Universiti Kebangsaan Malaysia |
| publishDate |
2014 |
| url |
http://journalarticle.ukm.my/6805/ http://journalarticle.ukm.my/6805/ http://journalarticle.ukm.my/6805/1/4802-11322-1-PB.pdf |
| first_indexed |
2023-09-18T19:47:57Z |
| last_indexed |
2023-09-18T19:47:57Z |
| _version_ |
1777406026344038400 |