Aging progression of elderly people using image morphing

L. L.Gayani Kumari, Anuja T. Dharmaratne

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationSignal 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.
Pages261-269
Number of pages9
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference on Signal Processing, Image Processing and Pattern Recognition held at the FGIT Conference 2011 - Jeju Island, Korea, Republic of (South)
Duration: 8 Dec 201110 Dec 2011

Publication series

NameCommunications in Computer and Information Science
Volume260 CCIS
ISSN (Print)1865-0929

Conference

ConferenceInternational Conference on Signal Processing, Image Processing and Pattern Recognition held at the FGIT Conference 2011
Abbreviated titleSIP 2011
CountryKorea, Republic of (South)
CityJeju Island
Period8/12/1110/12/11

Keywords

  • Age Progression Techniques
  • Automatic Age Estimation
  • Compositional and Dynamic Model
  • Graph based Image Representation
  • Image Morphing
  • Image Warping
  • Texture Enhancement
  • Wrinkle Transformation

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