dc.contributor.author | Hunter, D.W. | en_US |
dc.contributor.author | Tiddeman, B. P. | en_US |
dc.contributor.author | Perrett, D. I. | en_US |
dc.contributor.editor | Anders Hast and Ivan Viola | en_US |
dc.date.accessioned | 2015-07-08T13:37:52Z | |
dc.date.available | 2015-07-08T13:37:52Z | |
dc.date.issued | 2010 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/egp.20101031 | en_US |
dc.description.abstract | The 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.publisher | The Eurographics Association | en_US |
dc.title | Face Fitting using a Genetic Algorithm. | en_US |
dc.description.seriesinformation | Eurographics 2010 - Posters | en_US |
dc.description.sectionheaders | Posters | en_US |
dc.identifier.doi | 10.2312/egp.20101031 | en_US |