Detection of facial characteristics based on edge information

Stylianos Asteriadis; Nikos Nikolaidis; Ioannis Pitas; Montse Pardas

doi:10.5220/0002047502470252

Detection of facial characteristics based on edge information

Stylianos Asteriadis^*, Nikos Nikolaidis, Ioannis Pitas, Montse Pardas

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Abstract

In this paper, a novel method for eye and mouth detection and eye center and mouth comer localization, based on geometrical information is presented. First, a face detector is applied to detect the facial region, and the edge map of this region is extracted. A vector pointing to the closest edge pixel is then assigned to every pixel. x and y components of these vectors are used to detect the eyes and mouth. For eye center localization, intensity information is used, after removing unwanted effects, such as light reflections. For the detection of the mouth comers, the hue channel of the lip area is used. The proposed method can work efficiently on low-resolution images and has been tested on the XM2VTS database with very good results.

Original language	English
Title of host publication	Proceedings of the Second International Conference on Computer Vision Theory and Applications
Subtitle of host publication	Volume 2: March 8-11, 2007, in Barcelona, Spain
Publisher	SCITEPRESS
Pages	247-252
Number of pages	6
Volume	2
ISBN (Print)	9789728865740
DOIs	https://doi.org/10.5220/0002047502470252
Publication status	Published - 2007
Externally published	Yes

Access to Document

10.5220/0002047502470252Licence: CC BY-NC-ND

Cite this

@inproceedings{5de2f6cbfb0e45bb9cbab66e10109c19,

title = "Detection of facial characteristics based on edge information",

abstract = "In this paper, a novel method for eye and mouth detection and eye center and mouth comer localization, based on geometrical information is presented. First, a face detector is applied to detect the facial region, and the edge map of this region is extracted. A vector pointing to the closest edge pixel is then assigned to every pixel. x and y components of these vectors are used to detect the eyes and mouth. For eye center localization, intensity information is used, after removing unwanted effects, such as light reflections. For the detection of the mouth comers, the hue channel of the lip area is used. The proposed method can work efficiently on low-resolution images and has been tested on the XM2VTS database with very good results.",

author = "Stylianos Asteriadis and Nikos Nikolaidis and Ioannis Pitas and Montse Pardas",

year = "2007",

doi = "10.5220/0002047502470252",

language = "English",

isbn = "9789728865740",

volume = "2",

pages = "247--252",

booktitle = "Proceedings of the Second International Conference on Computer Vision Theory and Applications",

publisher = "SCITEPRESS",

}

Detection of facial characteristics based on edge information. / Asteriadis, Stylianos; Nikolaidis, Nikos; Pitas, Ioannis et al.
Proceedings of the Second International Conference on Computer Vision Theory and Applications: Volume 2: March 8-11, 2007, in Barcelona, Spain. Vol. 2 SCITEPRESS, 2007. p. 247-252.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

TY - GEN

T1 - Detection of facial characteristics based on edge information

AU - Asteriadis, Stylianos

AU - Nikolaidis, Nikos

AU - Pitas, Ioannis

AU - Pardas, Montse

PY - 2007

Y1 - 2007

N2 - In this paper, a novel method for eye and mouth detection and eye center and mouth comer localization, based on geometrical information is presented. First, a face detector is applied to detect the facial region, and the edge map of this region is extracted. A vector pointing to the closest edge pixel is then assigned to every pixel. x and y components of these vectors are used to detect the eyes and mouth. For eye center localization, intensity information is used, after removing unwanted effects, such as light reflections. For the detection of the mouth comers, the hue channel of the lip area is used. The proposed method can work efficiently on low-resolution images and has been tested on the XM2VTS database with very good results.

AB - In this paper, a novel method for eye and mouth detection and eye center and mouth comer localization, based on geometrical information is presented. First, a face detector is applied to detect the facial region, and the edge map of this region is extracted. A vector pointing to the closest edge pixel is then assigned to every pixel. x and y components of these vectors are used to detect the eyes and mouth. For eye center localization, intensity information is used, after removing unwanted effects, such as light reflections. For the detection of the mouth comers, the hue channel of the lip area is used. The proposed method can work efficiently on low-resolution images and has been tested on the XM2VTS database with very good results.

U2 - 10.5220/0002047502470252

DO - 10.5220/0002047502470252

M3 - Conference article in proceeding

SN - 9789728865740

VL - 2

SP - 247

EP - 252

BT - Proceedings of the Second International Conference on Computer Vision Theory and Applications

PB - SCITEPRESS

ER -