2.5D face landmarking via scale-invariant feature extraction and centroid localization
In this paper, we present and discuss our proposed method on landmarking on 2.5-dimensional (2.5D) face range images. Face landmarking plays an important role as an intermediary component in several face processing operation applications. Locating facial landmarks automatically remains a challenge....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2016
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| Online Access: | http://ir.unimas.my/id/eprint/16543/ http://ir.unimas.my/id/eprint/16543/1/2.5D%20Face%20Landmarking%20via%20Scale-invariant%20Feature%20%28abstract%29.pdf |
| _version_ | 1848838084351754240 |
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| author | Suk, Ting Pui Terrin, Lim Jacey-Lynn, Minoi |
| author_facet | Suk, Ting Pui Terrin, Lim Jacey-Lynn, Minoi |
| author_sort | Suk, Ting Pui |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | In this paper, we present and discuss our proposed method on landmarking on 2.5-dimensional (2.5D) face range images. Face landmarking plays an important role as an intermediary component in several face processing operation applications. Locating facial landmarks automatically remains a challenge. Detecting and localizing landmarks from raw face data are often performed manually by trained and experienced scientists or clinicians, and the process is usually lengthy, laborious and tedious. In order to overcome these challenges, we introduce a method that employs geometric approach, through utilizing the mean and Gaussian curvatures, primitive surfaces information to identify and label features as anatomical landmarks. In addition, comparative experiments on both automatic landmarking and manual landmarking were also performed and the results have demonstrated that the proposed method outperforms the manual landmarking in terms of obtaining distinct facial landmarks correctly and accurately. |
| first_indexed | 2025-11-15T06:49:56Z |
| format | Article |
| id | unimas-16543 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:49:56Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-165432017-06-08T06:02:41Z http://ir.unimas.my/id/eprint/16543/ 2.5D face landmarking via scale-invariant feature extraction and centroid localization Suk, Ting Pui Terrin, Lim Jacey-Lynn, Minoi T Technology (General) In this paper, we present and discuss our proposed method on landmarking on 2.5-dimensional (2.5D) face range images. Face landmarking plays an important role as an intermediary component in several face processing operation applications. Locating facial landmarks automatically remains a challenge. Detecting and localizing landmarks from raw face data are often performed manually by trained and experienced scientists or clinicians, and the process is usually lengthy, laborious and tedious. In order to overcome these challenges, we introduce a method that employs geometric approach, through utilizing the mean and Gaussian curvatures, primitive surfaces information to identify and label features as anatomical landmarks. In addition, comparative experiments on both automatic landmarking and manual landmarking were also performed and the results have demonstrated that the proposed method outperforms the manual landmarking in terms of obtaining distinct facial landmarks correctly and accurately. IEEE 2016 Article PeerReviewed text en http://ir.unimas.my/id/eprint/16543/1/2.5D%20Face%20Landmarking%20via%20Scale-invariant%20Feature%20%28abstract%29.pdf Suk, Ting Pui and Terrin, Lim and Jacey-Lynn, Minoi (2016) 2.5D face landmarking via scale-invariant feature extraction and centroid localization. 3rd International Conference on Computer and Information Sciences (ICCOINS), 2016. ISSN ISBN : 978-1-5090-2549-7 http://ieeexplore.ieee.org/document/7783244/ DOI: 10.1109/ICCOINS.2016.7783244 |
| spellingShingle | T Technology (General) Suk, Ting Pui Terrin, Lim Jacey-Lynn, Minoi 2.5D face landmarking via scale-invariant feature extraction and centroid localization |
| title | 2.5D face landmarking via scale-invariant feature extraction and centroid localization |
| title_full | 2.5D face landmarking via scale-invariant feature extraction and centroid localization |
| title_fullStr | 2.5D face landmarking via scale-invariant feature extraction and centroid localization |
| title_full_unstemmed | 2.5D face landmarking via scale-invariant feature extraction and centroid localization |
| title_short | 2.5D face landmarking via scale-invariant feature extraction and centroid localization |
| title_sort | 2.5d face landmarking via scale-invariant feature extraction and centroid localization |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/16543/ http://ir.unimas.my/id/eprint/16543/ http://ir.unimas.my/id/eprint/16543/ http://ir.unimas.my/id/eprint/16543/1/2.5D%20Face%20Landmarking%20via%20Scale-invariant%20Feature%20%28abstract%29.pdf |