Name
Abstract | ||
|---|---|---|
Distance measures and geometrical features are widely used to describe faces. Generally, they are extracted punctually from landmarks, namely anthropometric reference points. The aims are various, such as face recognition, facial expression recognition, face detection, study of changes in facial morphology due to growth, or dysmorphologies. Most of the time, landmarks were extracted with the help of an algorithm or manually located on the faces. Then, measures are computed or geometrical features are extracted to perform the scope of the study. This paper is intended as a survey collecting and explaining all these features, in order to provide a structured user database of the potential parameters and their characteristics. Firstly, facial soft-tissue landmarks are defined and contextualized; then the various measures are introduced and some results are given; lastly, the most important measures are compared to identify the best one for face recognition applications. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.imavis.2012.02.007 | Image Vision Comput. |
Keywords | Field | DocType |
anthropometric reference point,face recognition application,face detection,face recognition,landmarks measure,human face description,various measure,distance measure,facial soft-tissue landmark,facial expression recognition,important measure,geometrical feature | Computer vision,Facial recognition system,Pattern recognition,Facial expression recognition,Artificial intelligence,Face detection,Mathematics,Distance measures | Journal |
Volume | Issue | ISSN |
30 | 10 | 0262-8856 |
Citations | PageRank | References |
23 | 1.00 | 74 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrico Vezzetti | 1 | 151 | 12.98 |
| Federica Marcolin | 2 | 94 | 7.50 |