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dc.contributor.authorBukar, Ali M.*
dc.contributor.authorUgail, Hassan*
dc.contributor.authorConnah, David*
dc.date.accessioned2016-05-09T13:39:49Z
dc.date.available2016-05-09T13:39:49Z
dc.date.issued2015-11-10
dc.identifier.citationBukar AM, Ugail H and Connah D (2015) Individualised model of facial age synthesis based on constrained regression. In: Proceedings of the 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). 10-13 Nov 2015, Orleans, France. 285-290.en_US
dc.identifier.urihttp://hdl.handle.net/10454/8320
dc.descriptionYesen_US
dc.description.abstractFaces convey much information. Interestingly we humans have a remarkable ability of identifying, extracting, and interpreting this information. Recently automatic facial ageing (AFA) has gained popularity due to its numerous applications which include search for missing people, biometrics, and multimedia. The problem of AFA is faced with various challenges, including incomplete training datasets, unrestrained environments, ethnic and gender variations to mention but a few. This work presents a new approach to automatic facial ageing which involves the development of a person specific facial ageing system. A color based Active Appearance Model (AAM) is used to extract facial features. Then, regression is used to model an age estimator. Age synthesis is achieved by computing a solution that minimises the distance from the original face with the use of constrained regression. The model is tested on a challenging database of single image per person. Initial results suggest that plausible images can be rerendered at different ages, automatically using the AAM representation. Using the constrained regressor we are guaranteed to get estimated ages that are exact for an individual at a given age.en_US
dc.language.isoenen_US
dc.rights© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.subjectAge estimation; Age progression; Age synthesis; Constrained regression; Facial ageing; Face recognition; Feature extraction; Image colour analysis; Image representation; Regression analysisen_US
dc.titleIndividualised model of facial age synthesis based on constrained regressionen_US
dc.status.refereedYesen_US
dc.typeConference paperen_US
dc.type.versionAccepted Manuscripten_US
dc.identifier.doihttps://doi.org/10.1109/IPTA.2015.7367147
refterms.dateFOA2018-07-25T14:52:54Z


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