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Fully automatic photorealistic facial expression and eye gaze transfer with a single image

Producción científica: Conference contributionrevisión exhaustiva

Resumen

Facial expression transfer has many applications in animation, special effects, and social media. Due to the variability in pose and environmental condition, generating a photo-realistic facial expression with a single image under uncon-trolled environment is a challenging problem. In this paper, we present a novel approach to simultaneously transfer both the facial expression and the eye gaze of an actor from one image to another. Based on the estimated facial geometry, the key idea of our work is to use mesh deformation to manipulate the expression of the actor in the target image. We start the process by reconstructing 3D facial geometry from un-constrained 2D images using a two-stage optimization strategy. A non-rigid registration is then used to find correspon-dences and alignment between reconstructed models, while eye gaze transfer is accomplished by piecewise affine warping. Finally we re-render the manipulated image with the use of Poisson image blending. We demonstrate the effectiveness of our method on images with various lighting conditions, head poses, and facial expressions.

Idioma originalEnglish
Título de la publicación alojadaProceedings - 2019 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2019
Páginas519-524
Número de páginas6
ISBN (versión digital)9781538692141
DOI
EstadoPublished - jul 2019
Evento2019 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2019 - Shanghai, China
Duración: jul 8 2019jul 12 2019

Serie de la publicación

NombreProceedings - 2019 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2019

Conference

Conference2019 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2019
País/TerritorioChina
CiudadShanghai
Período7/8/197/12/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus subject areas

  • Media Technology
  • Computer Vision and Pattern Recognition

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