Facial fattening and slimming simulation based on skull structure

Masahiro Fujisaki*, Shigeo Morishima

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper, we propose a novel facial fattening and slimming deformation method in 2D images that preserves the individuality of the input face by estimating the skull structure from a frontal face image and prevents unnatural deformation (e.g. penetration into the skull). Our method is composed of skull estimation, optimizing fattening and slimming rules appropriate to the estimated skull, mesh deformation to generate fattening and slimming face, and generation background image adapted to the generated face contour. Finally, we verify our method by comparison with other rules, precision of skull estimation, subjective experiment, and execution time.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings
EditorsBahram Parvin, Darko Koracin, Rogerio Feris, Gunther Weber, Ioannis Pavlidis, Tim McGraw, Regis Kopper, Zhao Ye, Eric Ragan, George Bebis, Mark Elendt, Richard Boyle
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783319278629
Publication statusPublished - 2015
Event11th International Symposium on Advances in Visual Computing , ISVC 2015 - Las Vegas, United States
Duration: 2015 Dec 142015 Dec 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other11th International Symposium on Advances in Visual Computing , ISVC 2015
Country/TerritoryUnited States
CityLas Vegas

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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