Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Photo-Realistic Exemplar-Based Face Ageing
ConferencePaper (Artikel, die in Tagungsbänden erschienen sind)
 
ID 4528148
Author(s) Schneider, Andreas; Bouabene, Ghazi; Shaiek, Ayet; Schönborn, Sandro; Flament, Frédéric; Ghislain, François; Rubert, Virginie; Vetter, Thomas
Author(s) at UniBasel Vetter, Thomas
Schneider, Andreas
Bouabene, Ghazi
Schönborn, Sandro
Year 2019
Title Photo-Realistic Exemplar-Based Face Ageing
Book title (Conference Proceedings) 15th IEEE Conference on Automatic Face and Gesture Recognition (FG 2019)
Volume 1
Place of Conference Lille, France
Publisher IEEE
ISSN/ISBN 978-1-7281-0089-0
Abstract We propose a photo-realistic method for artificially ageing facial photographs by combining learned shape deformations with skin detail transfer between a donor and a receiver face. Facial ageing is a complicated process that most existing face models, such as 3d Morphable Models fail to express, due to lacking correspondence between the wrinkles of different individuals. We propose an exemplar-based approach to face ageing, where we transfer high-frequency details from an older face texture to a younger receiver. By warping the resulting image according to a learned shape ageing deformation, we obtain photo-realistic aged photographs. We evaluate the simulator with human perception experiments showing that we can indeed create results that are perceived to be real.
edoc-URL https://edoc.unibas.ch/75256/
Full Text on edoc Restricted
Digital Object Identifier DOI 10.1109/FG.2019.8756507
ISI-Number WOS:000484960400026
 
   

MCSS v5.8 PRO. 0.341 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
15/05/2024