dc.contributor.author |
Asteriadis, S |
en |
dc.contributor.author |
Nikolaidis, N |
en |
dc.contributor.author |
Pitas, I |
en |
dc.date.accessioned |
2014-03-01T01:57:49Z |
|
dc.date.available |
2014-03-01T01:57:49Z |
|
dc.date.issued |
2009 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/28550 |
|
dc.subject |
Facial Feature Detection |
en |
dc.subject |
Vector Field |
en |
dc.title |
Facial feature detection using distance vector fields |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.patcog.2009.01.009 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.patcog.2009.01.009 |
en |
heal.publicationDate |
2009 |
en |
heal.abstract |
A novel method for eye and mouth detection and eye center and mouth corner localization, based on geometrical information is presented in this paper. First, a face detector is applied to detect the facial region, and the edge map of this region is calculated. The distance vector field of the face is extracted by assigning to every facial image pixel |
en |
heal.journalName |
Pattern Recognition |
en |
dc.identifier.doi |
10.1016/j.patcog.2009.01.009 |
en |