Paper Info
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.
Year
Venue
Keywords
2007
VISAPP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOLUME IU/MTSV
facial features detection, distance map, ellipse fitting
Field
DocType
Citations 
Computer vision,Pattern recognition,Computer science,Facial region,Communication channel,Hue,Artificial intelligence,Pixel,Detector
Conference
10
PageRank 
References 
Authors
0.81
7
4
Name
Order
Citations
PageRank
Stylianos Asteriadis132524.84
Nikolaos Nikolaidis210810.31
Ioannis Pitas36478626.09
Montse Pardàs434335.03