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dc.contributor.authorScherbaum, K.en_US
dc.contributor.authorSunkel, M.en_US
dc.contributor.authorSeidel, H.-P.en_US
dc.contributor.authorBlanz, V.en_US
dc.date.accessioned2015-02-21T15:40:56Z
dc.date.available2015-02-21T15:40:56Z
dc.date.issued2007en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2007.01050.xen_US
dc.description.abstractRepresented in a Morphable Model, 3D faces follow curved trajectories in face space as they age. We present a novel algorithm that computes the individual aging trajectories for given faces, based on a non-linear function that assigns an age to each face vector. This function is learned from a database of 3D scans of teenagers and adults using support vector regression.To apply the aging prediction to images of faces, we reconstruct a 3D model from the input image, apply the aging transformation on both shape and texture, and then render the face back into the same image or into images of other individuals at the appropriate ages, for example images of older children. Among other applications, our system can help to find missing children.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titlePrediction of Individual Non-Linear Aging Trajectories of Facesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume26en_US
dc.description.number3en_US
dc.identifier.doi10.1111/j.1467-8659.2007.01050.xen_US
dc.identifier.pages285-294en_US


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