Name
Title | ||
|---|---|---|
Automated craniofacial landmarks detection on 3D image using geometry characteristics information. |
Abstract | ||
|---|---|---|
In conclusion, ACL has been validated with the eight landmarks and is suitable for automated facial recognition. ACL has proved its validity and demonstrated the practicability to be used as an alternative for IA, as it is time-saving and free from human biases. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1186/s12859-018-2548-9 | BMC Bioinformatics |
Keywords | Field | DocType |
3D facial image,Automated craniofacial landmarks,Geometry characteristics information,Indirect anthropometry | Automated Facial Recognition,Data set,Biology,Labiale inferius,Nasion,Craniofacial,Geometry,Landmark,Labiale superius,3d image | Journal |
Volume | Issue | ISSN |
19 | 13 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arpah Abu | 1 | 8 | 1.05 |
| Chee Guan Ngo | 2 | 0 | 0.34 |
| Nur Idayu Adira Abu-Hassan | 3 | 0 | 0.34 |
| Siti Adibah Othman | 4 | 0 | 0.34 |