Age progression for elderly people using image morphing

L. L. Gayani Kumari, Anuja Dharmaratne

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

1 Citation (Scopus)


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 using morphing. Paper discusses some key landmarks of elderly aging progression techniques from the existing research pool as well.

Original languageEnglish
Title of host publicationProceedings of International Conference on Advances in ICT for Emerging Regions, ICTer 2011
Number of pages6
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference on Advances in ICT for Emerging Regions 2011 - Colombo, Sri Lanka
Duration: 1 Sept 20112 Sept 2011
Conference number: 2nd (Proceedings)


ConferenceInternational Conference on Advances in ICT for Emerging Regions 2011
Abbreviated titleICTer 2011
Country/TerritorySri Lanka
Internet address


  • 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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