Paper Info
Title
Algorithm for face and eye detection using colour segmentation and invariant features
Abstract
The paper presents an algorithm designed to face and facial features (eyes, eyebrows) detection. First, human skin regions are segmented and processed by morphological operators to detect the human face. After the face has been detected, a series of parameters that will be taken into account by the eyes detection stage are calculated. The most important parameters are face orientation and distance between the eyes.
Year
DOI
Venue
2011
10.1109/TSP.2011.6043666
Telecommunications and Signal Processing
Keywords
Field
DocType
face recognition,feature extraction,image colour analysis,image segmentation,colour segmentation,eye detection,face detection,face orientation,features detection,human skin regions,image segmentation,invariant features,morphological operators,eye detection,face detection,image moments,particles measurements,skin colour segmentation
Computer science,Image segmentation,Artificial intelligence,Face detection,Image moment,Computer vision,Facial recognition system,Object-class detection,Pattern recognition,Segmentation,Algorithm,Feature extraction,Invariant (mathematics)
Conference
ISBN
Citations 
PageRank 
978-1-4577-1410-8
2
0.47
References 
Authors
15
4
Name
Order
Citations
PageRank
Daniel Petrisor172.63
Cristian Fosalau272.97
Manuel Avila371.27
Felix Mariut471.95