Header logo is

Appealing Avatars from 3D Body Scans: Perceptual Effects of Stylization

2017

Book Chapter

ps


Using styles derived from existing popular character designs, we present a novel automatic stylization technique for body shape and colour information based on a statistical 3D model of human bodies. We investigate whether such stylized body shapes result in increased perceived appeal with two different experiments: One focuses on body shape alone, the other investigates the additional role of surface colour and lighting. Our results consistently show that the most appealing avatar is a partially stylized one. Importantly, avatars with high stylization or no stylization at all were rated to have the least appeal. The inclusion of colour information and improvements to render quality had no significant effect on the overall perceived appeal of the avatars, and we observe that the body shape primarily drives the change in appeal ratings. For body scans with colour information, we found that a partially stylized avatar was perceived as most appealing.

Author(s): Reuben Fleming and Betty J. Mohler and Javier Romero and Michael J. Black and Martin Breidt
Book Title: omputer Vision, Imaging and Computer Graphics Theory and Applications: 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 – 29, 2016, Revised Selected Papers
Pages: 175--196
Year: 2017
Publisher: Springer International Publishing

Department(s): Perceiving Systems
Bibtex Type: Book Chapter (inbook)
Paper Type: Book Chapter

DOI: 10.1007/978-3-319-64870-5_9

Links: publisher site
pdf

BibTex

@inbook{Fleming:Avatar:2017,
  title = {Appealing Avatars from {3D} Body Scans: Perceptual Effects of Stylization},
  author = {Fleming, Reuben and Mohler, Betty J. and Romero, Javier and Black, Michael J. and Breidt, Martin},
  booktitle = {omputer Vision, Imaging and Computer Graphics Theory and Applications: 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 -- 29, 2016, Revised Selected Papers},
  pages = {175--196},
  publisher = {Springer International Publishing},
  year = {2017}
}