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.
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Kumari, L.L.G., Dharmaratne, A.T. (2011). Aging Progression of Elderly People Using Image Morphing. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_28
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DOI: https://doi.org/10.1007/978-3-642-27183-0_28
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