Towards automatic landmarking on 2.5D face range images
In this paper, we propose an algorithm to automatically landmark points on 2.5-dimensional (2.5D) face images. We applied the Scale-invariant Feature Transform (SIFT) method to a new automatic landmarking method. Automatic landmarking has a number of added advantages over manual landmarking and...
| Main Authors: | , |
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| Format: | Proceeding |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/10168/ http://ir.unimas.my/id/eprint/10168/1/Towards%20Automatic%20Landmarking%20on%202.5D%20Face%20Range%20Images%20%28abstract%29.pdf |
| _version_ | 1848836721105436672 |
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| author | Pui, Suk Ting Jacey-Lynn, Minoi |
| author_facet | Pui, Suk Ting Jacey-Lynn, Minoi |
| author_sort | Pui, Suk Ting |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | In this paper, we propose an algorithm to
automatically landmark points on 2.5-dimensional (2.5D) face
images. We applied the Scale-invariant Feature Transform
(SIFT) method to a new automatic landmarking method.
Automatic landmarking has a number of added advantages
over manual landmarking and it is more accurate and less time
consuming especially if the dataset is large. We developed an
interactive Graphical User Interface (GUI) tool to ease the
visualization of the extract face features, which are scale and
transformation invariant. The threshold values are then
analyzed and generalized to best detect and extract important
keypoints or/and regions of facial features. The results of the
automatic extracted keypoint features are shown in this paper. |
| first_indexed | 2025-11-15T06:28:16Z |
| format | Proceeding |
| id | unimas-10168 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:28:16Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-101682022-09-15T03:51:06Z http://ir.unimas.my/id/eprint/10168/ Towards automatic landmarking on 2.5D face range images Pui, Suk Ting Jacey-Lynn, Minoi T Technology (General) In this paper, we propose an algorithm to automatically landmark points on 2.5-dimensional (2.5D) face images. We applied the Scale-invariant Feature Transform (SIFT) method to a new automatic landmarking method. Automatic landmarking has a number of added advantages over manual landmarking and it is more accurate and less time consuming especially if the dataset is large. We developed an interactive Graphical User Interface (GUI) tool to ease the visualization of the extract face features, which are scale and transformation invariant. The threshold values are then analyzed and generalized to best detect and extract important keypoints or/and regions of facial features. The results of the automatic extracted keypoint features are shown in this paper. 2013 Proceeding NonPeerReviewed text en http://ir.unimas.my/id/eprint/10168/1/Towards%20Automatic%20Landmarking%20on%202.5D%20Face%20Range%20Images%20%28abstract%29.pdf Pui, Suk Ting and Jacey-Lynn, Minoi (2013) Towards automatic landmarking on 2.5D face range images. In: 8th International Conference on Information Technology in Asia (CITA), 2013, 1-4 July 2013, Kota Samarahan. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6637553 |
| spellingShingle | T Technology (General) Pui, Suk Ting Jacey-Lynn, Minoi Towards automatic landmarking on 2.5D face range images |
| title | Towards automatic landmarking on 2.5D face range images |
| title_full | Towards automatic landmarking on 2.5D face range images |
| title_fullStr | Towards automatic landmarking on 2.5D face range images |
| title_full_unstemmed | Towards automatic landmarking on 2.5D face range images |
| title_short | Towards automatic landmarking on 2.5D face range images |
| title_sort | towards automatic landmarking on 2.5d face range images |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/10168/ http://ir.unimas.my/id/eprint/10168/ http://ir.unimas.my/id/eprint/10168/1/Towards%20Automatic%20Landmarking%20on%202.5D%20Face%20Range%20Images%20%28abstract%29.pdf |