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dc.contributor.authorHunter, D.W.en_US
dc.contributor.authorTiddeman, B. P.en_US
dc.contributor.authorPerrett, D. I.en_US
dc.contributor.editorAnders Hast and Ivan Violaen_US
dc.date.accessioned2015-07-08T13:37:52Z
dc.date.available2015-07-08T13:37:52Z
dc.date.issued2010en_US
dc.identifier.urihttp://dx.doi.org/10.2312/egp.20101031en_US
dc.description.abstractThe ability to estimate the three-dimensional structure of a human face from a single image has many useful applications, including but not limited to the fields of face recognition, modelling and actors head replacement. Although a lot of promising techniques have been developed in this area a number of significant technical hurdles exist preventing the development of a reliable method to extract three-dimensional structure without human intervention. In this poster we present work in progress on a new technique that should overcome some of the problems associated with the current state-of-the-art methods. We intend to use Genetic Algorithms to search the face space to find a match with a given input image. We hope to show that this method will avoid local-minima problems associated with traditional gradient descent techniques as well as provide a method that locates the position, pose and shape of the face without any user interaction.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleFace Fitting using a Genetic Algorithm.en_US
dc.description.seriesinformationEurographics 2010 - Postersen_US
dc.description.sectionheadersPostersen_US
dc.identifier.doi10.2312/egp.20101031en_US


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    Eurographics 2010 - Posters

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