Recent Advances in Facial Appearance Capture

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dc.contributor.authorKlehm, Oliveren_US
dc.contributor.authorRousselle, Fabriceen_US
dc.contributor.authorPapas, Mariosen_US
dc.contributor.authorBradley, Dereken_US
dc.contributor.authorHery, Christopheen_US
dc.contributor.authorBickel, Bernden_US
dc.contributor.authorJarosz, Wojciechen_US
dc.contributor.authorBeeler, Thaboen_US
dc.contributor.editorK. Hormann and O. Staadten_US
dc.date.accessioned2015-04-16T06:15:23Z
dc.date.available2015-04-16T06:15:23Z
dc.date.issued2015en_US
dc.description.abstractFacial appearance capture is now firmly established within academic research and used extensively across various application domains, perhaps most prominently in the entertainment industry through the design of virtual characters in video games and films. While significant progress has occurred over the last two decades, no single survey currently exists that discusses the similarities, differences, and practical considerations of the available appearance capture techniques as applied to human faces. A central difficulty of facial appearance capture is the way light interacts with skin-which has a complex multi-layered structure-and the interactions that occur below the skin surface can, by definition, only be observed indirectly. In this report, we distinguish between two broad strategies for dealing with this complexity. “Image-based methods” try to exhaustively capture the exact face appearance under different lighting and viewing conditions, and then render the face through weighted image combinations. “Parametric methods” instead fit the captured reflectance data to some parametric appearance model used during rendering, allowing for a more lightweight and flexible representation but at the cost of potentially increased rendering complexity or inexact reproduction. The goal of this report is to provide an overview that can guide practitioners and researchers in assessing the tradeoffs between current approaches and identifying directions for future advances in facial appearance capture.en_US
dc.description.documenttypestar
dc.description.number2en_US
dc.description.sectionheadersState of the Art Reportsen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12594en_US
dc.identifier.pages709-733en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12594en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleRecent Advances in Facial Appearance Captureen_US
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