Robust learning from normals for 3D face recognition
We introduce novel subspace-based methods for learning from the azimuth angle of surface normals for 3D face recognition. We show that the normal azimuth angles combined with Principal Component Analysis (PCA) using a cosine-based distance measure can be used for robust face recognition from facial...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Springer Verlag
2012
|
| Online Access: | https://eprints.nottingham.ac.uk/31429/ |
| _version_ | 1848794199517822976 |
|---|---|
| author | Marras, Ioannis Zafeiriou, Stefanos Tzimiropoulos, Georgios |
| author_facet | Marras, Ioannis Zafeiriou, Stefanos Tzimiropoulos, Georgios |
| author_sort | Marras, Ioannis |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | We introduce novel subspace-based methods for learning from the azimuth angle of surface normals for 3D face recognition. We show that the normal azimuth angles combined with Principal Component Analysis (PCA) using a cosine-based distance measure can be used for robust face recognition from facial surfaces. The proposed algorithms are well-suited for all types of 3D facial data including data produced by range cameras (depth images), photometric stereo (PS) and shade-from-X (SfX) algorithms. We demonstrate the robustness of the proposed algorithms both in 3D face reconstruction from synthetically occluded samples, as well as, in face recognition using the FRGC v2 3D face database and the recently collected Photoface database where the proposed method achieves state-of-the-art results. An important aspect of our method is that it can achieve good face recognition/verification performance by using raw 3D scans without any heavy preprocessing (i.e., model fitting, surface smoothing etc.). |
| first_indexed | 2025-11-14T19:12:24Z |
| format | Article |
| id | nottingham-31429 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:12:24Z |
| publishDate | 2012 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-314292020-05-04T20:22:36Z https://eprints.nottingham.ac.uk/31429/ Robust learning from normals for 3D face recognition Marras, Ioannis Zafeiriou, Stefanos Tzimiropoulos, Georgios We introduce novel subspace-based methods for learning from the azimuth angle of surface normals for 3D face recognition. We show that the normal azimuth angles combined with Principal Component Analysis (PCA) using a cosine-based distance measure can be used for robust face recognition from facial surfaces. The proposed algorithms are well-suited for all types of 3D facial data including data produced by range cameras (depth images), photometric stereo (PS) and shade-from-X (SfX) algorithms. We demonstrate the robustness of the proposed algorithms both in 3D face reconstruction from synthetically occluded samples, as well as, in face recognition using the FRGC v2 3D face database and the recently collected Photoface database where the proposed method achieves state-of-the-art results. An important aspect of our method is that it can achieve good face recognition/verification performance by using raw 3D scans without any heavy preprocessing (i.e., model fitting, surface smoothing etc.). Springer Verlag 2012 Article PeerReviewed Marras, Ioannis, Zafeiriou, Stefanos and Tzimiropoulos, Georgios (2012) Robust learning from normals for 3D face recognition. Lecture Notes in Computer Science, 7584 . pp. 230-239. ISSN 0302-9743 http://link.springer.com/chapter/10.1007%2F978-3-642-33868-7_23 doi:10.1007/978-3-642-33868-7_23 doi:10.1007/978-3-642-33868-7_23 |
| spellingShingle | Marras, Ioannis Zafeiriou, Stefanos Tzimiropoulos, Georgios Robust learning from normals for 3D face recognition |
| title | Robust learning from normals for 3D face recognition |
| title_full | Robust learning from normals for 3D face recognition |
| title_fullStr | Robust learning from normals for 3D face recognition |
| title_full_unstemmed | Robust learning from normals for 3D face recognition |
| title_short | Robust learning from normals for 3D face recognition |
| title_sort | robust learning from normals for 3d face recognition |
| url | https://eprints.nottingham.ac.uk/31429/ https://eprints.nottingham.ac.uk/31429/ https://eprints.nottingham.ac.uk/31429/ |