TY - GEN
T1 - Aging progression of elderly people using image morphing
AU - Kumari, L. L.Gayani
AU - Dharmaratne, Anuja T.
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - Aging is an inevitable process and its effects cause major variations in the appearance of human faces. Human face identification has a significant amount of information depend on his age, gender, ethnicity and etc. In addition, facial expression and facial gestures often reveal the emotional state of an individual. Consequently human facial analysis has received considerable attention and has led to the development of novel approaches to perform face recognition, facial expression characterization, face modeling, etc. Facial aging is attributed by changes in facial features, shape and texture and other biological factors like weight loss/gain, facial hair, etc. Age seems to be the main cause of the facial change and it has become forefront. Human life cycle can be classified in to four main stages with the age. Those are babies, children, young adults and elderly. Significant amount of facial changes can be identified in each of these stages. This paper introduces a methodology for elderly facial shape changes, hairlines recede and hair colour change using image morphing.
AB - Aging is an inevitable process and its effects cause major variations in the appearance of human faces. Human face identification has a significant amount of information depend on his age, gender, ethnicity and etc. In addition, facial expression and facial gestures often reveal the emotional state of an individual. Consequently human facial analysis has received considerable attention and has led to the development of novel approaches to perform face recognition, facial expression characterization, face modeling, etc. Facial aging is attributed by changes in facial features, shape and texture and other biological factors like weight loss/gain, facial hair, etc. Age seems to be the main cause of the facial change and it has become forefront. Human life cycle can be classified in to four main stages with the age. Those are babies, children, young adults and elderly. Significant amount of facial changes can be identified in each of these stages. This paper introduces a methodology for elderly facial shape changes, hairlines recede and hair colour change using image morphing.
KW - Age Progression Techniques
KW - Automatic Age Estimation
KW - Compositional and Dynamic Model
KW - Graph based Image Representation
KW - Image Morphing
KW - Image Warping
KW - Texture Enhancement
KW - Wrinkle Transformation
UR - http://www.scopus.com/inward/record.url?scp=84855386449&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-27183-0_28
DO - 10.1007/978-3-642-27183-0_28
M3 - Conference Paper
AN - SCOPUS:84855386449
SN - 9783642271823
T3 - Communications in Computer and Information Science
SP - 261
EP - 269
BT - Signal Processing, Image Processing and Pattern Recognition - Int. Conf., SIP 2011, Held as Part of the Future Generation Information Technology Conf., FGIT 2011, in Conjunction with GDC 2011, Proc.
T2 - International Conference on Signal Processing, Image Processing and Pattern Recognition held at the FGIT Conference 2011
Y2 - 8 December 2011 through 10 December 2011
ER -