The ageing factor is very significant in face images. As shown in Figure 13.1, the facial appearance changes a lot with the person's ageing process. The facial appearance changes could be used to characterize the ages of an individual for the purpose of age prediction. Actually, humans have the capability to perceive the ages of other people by looking at their faces. So, age perception from faces is quite natural for people.

Chapter Contents:

• 13.1 Introduction
• 13.1.1 Applications
• 13.1.2 Organization
• 13.2 Face representation
• 13.2.1 Wrinkle models
• 13.2.2 Anthropometric models
• 13.2.3 Active appearance models
• 13.2.4 Ageing pattern subspace
• 13.2.5 Biologically inspired models
• 13.2.6 Compositional and dynamic model
• 13.2.7 Local spatially flexible patches
• 13.2.8 Other methods
• 13.3 Ageing function
• 13.3.1 Classification
• 13.3.2 Regression
• 13.3.3 Hybrid
• 13.4 Age group classification
• 13.5 Databases
• 13.6 Evaluation
• 13.7 Research trends and challenges
• 13.7.1 Combining age with other facial traits
• 13.7.2 Age prediction with variations of pose, expression, and illumination
• 13.7.3 Ageing database collections
• 13.7.4 Cross-domain age prediction
• 13.7.5 Develop a robust and working system for age prediction
• 13.8 Concluding remarks
• References

Inspec keywords: face recognition; geriatrics

Other keywords: face images; facial appearance; ageing factor; ageing process; age prediction

Subjects: Computer vision and image processing techniques; Image recognition