A Parametric Freckle Model for Faces

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A Parametric Freckle Model for Faces

ConferencePaper (Artikel, die in Tagungsbänden erschienen sind)

ID	4495674
Author(s)	Schneider, Andreas; Egger, Bernhard; Vetter, Thomas
Author(s) at UniBasel	Vetter, Thomas
Year	2018
Title	A Parametric Freckle Model for Faces
Book title (Conference Proceedings)	13th IEEE Conference on Automatic Face and Gesture Recognition (FG 2018)
Place of Conference	Xi'an, China
Publisher	IEEE
Pages	431-435
ISSN/ISBN	978-1-5386-2335-0
Abstract	We propose a novel stochastic generative parametric freckle model for the analysis and synthesis of human faces. Morphable Models are the state-of-the-art generative parametric face models. However, they are unable to synthesize freckles which are part of atural face variation. The deficiency lies in requiring point-to-point correspondence on the texture pixels. We propose to assume a correspondence between freckle density and not the freckles themselves. We propose a model that is stochastic, generative, and parametric and generates freckles with a point process according to a density and size distribution. The resulting model can synthesize photo-realistic freckles according to observations as well as add freckles to existing faces. We create more realistic faces than with Morphable Models alone and allow for detailed face pigment analysis.
edoc-URL	https://edoc.unibas.ch/69083/
Full Text on edoc	Restricted
Digital Object Identifier DOI	10.1109/FG.2018.00069
ISI-Number	WOS:000454996700059

26/04/2024

Research Database / FORSCHUNGSDATENBANK