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    A nonlinear appearance model for age progression

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    Publication date
    2018
    Author
    Bukar, Ali M.
    Ugail, Hassan
    Keyword
    Age progression
    Age synthesis
    Kernel appearance model
    Linear regression
    Kernel PCA
    Kernel preimage
    Mary Boyle
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Recently, automatic age progression has gained popularity due to its nu-merous applications. Among these is the search for missing people, in the UK alone up to 300,000 people are reported missing every year. Although many algorithms have been proposed, most of the methods are affected by image noise, illumination variations, and most importantly facial expres-sions. To this end we propose to build an age progression framework that utilizes image de-noising and expression normalizing capabilities of kernel principal component analysis (Kernel PCA). Here, Kernel PCA a nonlinear form of PCA that explores higher order correlations between input varia-bles, is used to build a model that captures the shape and texture variations of the human face. The extracted facial features are then used to perform age progression via a regression procedure. To evaluate the performance of the framework, rigorous tests are conducted on the FGNET ageing data-base. Furthermore, the proposed algorithm is used to progress images of Mary Boyle; a six-year-old that went missing over 39 years ago, she is considered Ireland’s youngest missing person. The algorithm presented in this paper could potentially aid, among other applications, the search for missing people worldwide.
    URI
    http://hdl.handle.net/10454/12200
    Version
    No full-text in the repository
    Citation
    Bukar AM and Ugail H (2018) A nonlinear appearance model for age progression. In: Hassanien AE and Oliva DA (Eds) Advances in soft computing and machine learning in image processing. 730: 461-475. London: Springer.
    Link to publisher’s version
    http://www.springer.com/gp/book/9783319637532
    Type
    Book chapter
    Collections
    Engineering and Informatics Publications

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