Practical and Scalable Desktop-based High-Quality Facial Capture

Lattas, Alexandros, Lin, Yiming, Kannan, Jayanth et al. (5 more authors) (2022) Practical and Scalable Desktop-based High-Quality Facial Capture. In: Proceeding of the European Conference on Computer Vision (ECCV 2022). 17th European Conference on Computer Vision (ECCV 2022), 23-27 Oct 2022 ACM , ISR , 522–537.

Metadata

Authors/Creators:
  • Lattas, Alexandros
  • Lin, Yiming
  • Kannan, Jayanth
  • Ozturk, Ekin
  • Filipi, Luca
  • Guarnera, Claudio (claudio.guarnera@york.ac.uk)
  • Chawla, Gaurav
  • Ghosh, Abhijeet
Copyright, Publisher and Additional Information: This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Dates:
  • Accepted: 8 July 2022
  • Published: 23 October 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 16 Mar 2023 14:20
Last Modified: 06 Dec 2023 10:16
Published Version: https://doi.org/10.1007/978-3-031-20068-7_30
Status: Published
Publisher: ACM
Refereed: No
Identification Number: https://doi.org/10.1007/978-3-031-20068-7_30

Download

Accepted Version

Filename: 2022_Lumi_Practical_and_Scalable.pdf

Description: 2022_Lumi___Practical_and_Scalable

CLICK TO DOWNLOAD [img]

Export

Statistics


CORE (COnnecting REpositories)