Research Output
Feature-preserving detailed 3D face reconstruction from a single image
  Dense 3D face reconstruction plays a fundamental role in visual media production involving digital actors. We improve upon high fidelity reconstruction from a single 2D photo with a reconstruction framework that is robust to large variations in expressions, poses and illumination. We provide a global optimization step improving the alignment of 3D facial geometry to tracked 2D landmarks with 3D Laplacian deformation. Face detail is improved through, extending Shape from Shading reconstruction with fitted albedo prior masks, together with a fast proportionality constraint between depth and image gradients consistent with local self-occlusion behavior. Together these measures better preserve the crucial facial features that define an actor's identity, and we illustrate this through a variety of comparisons with related works.

  • Date:

    13 December 2018

  • Publication Status:

    Published

  • Publisher

    ACM Press

  • DOI:

    10.1145/3278471.3278473

  • Library of Congress:

    QA76 Computer software

  • Dewey Decimal Classification:

    006.6 Computer graphics

  • Funders:

    Edinburgh Napier Funded

Citation

Li, Y., Ma, L., Fan, H., & Mitchell, K. (2018). Feature-preserving detailed 3D face reconstruction from a single image. In CVMP '18 Proceedings of the 15th ACM SIGGRAPH European Conference on Visual Media Productionhttps://doi.org/10.1145/3278471.3278473

Authors

Keywords

Feature-Preserving, 3D Face Reconstruction, Optimization

Monthly Views:

Available Documents
  • pdf

    Feature Preserving Detailed 3D Face Reconstruction From A Single Image

    6MB

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the
    author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org.

  • Downloadable citations

    HTML BIB RTF