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Selfie to Avatar - Creating a 3D Model of a Face from Front and Side View Photos

Högström, Mikael LU (2016) In Master's Theses in Mathematical Sciences FMA820 20151
Mathematics (Faculty of Engineering)
Abstract
In this thesis we present a system for creating a textured, animated 3D model of a user’s face in real time. The model, which we call an avatar, is reconstructed from two photos of a subject, one from a front view and one from a side view. Each photo is segmented using Active Shape Models. The shapes determined by the segmentation are used to reconstruct a 3D model and the pixel colors of the images are used to texture it. In order to evaluate the system, we use a test where test respondents try to match real world photos of people to their corresponding avatars. Although we do not take any special care of modelling hair, which is a difficult problem, we achieve a recognition rate of 82.7 % which demonstrates that our method already can... (More)
In this thesis we present a system for creating a textured, animated 3D model of a user’s face in real time. The model, which we call an avatar, is reconstructed from two photos of a subject, one from a front view and one from a side view. Each photo is segmented using Active Shape Models. The shapes determined by the segmentation are used to reconstruct a 3D model and the pixel colors of the images are used to texture it. In order to evaluate the system, we use a test where test respondents try to match real world photos of people to their corresponding avatars. Although we do not take any special care of modelling hair, which is a difficult problem, we achieve a recognition rate of 82.7 % which demonstrates that our method already can provide realistic avatars of a person with little input from the user. (Less)
Please use this url to cite or link to this publication:
author
Högström, Mikael LU
supervisor
organization
course
FMA820 20151
year
type
H2 - Master's Degree (Two Years)
subject
keywords
image analysis, active shape models, automatic avatar creation, 3D graphics
publication/series
Master's Theses in Mathematical Sciences
report number
LUTFMA-3288-2016
ISSN
1404-6342
other publication id
2016:E4
language
English
id
8567678
date added to LUP
2016-04-12 16:36:27
date last changed
2016-04-12 16:36:27
@misc{8567678,
  abstract     = {{In this thesis we present a system for creating a textured, animated 3D model of a user’s face in real time. The model, which we call an avatar, is reconstructed from two photos of a subject, one from a front view and one from a side view. Each photo is segmented using Active Shape Models. The shapes determined by the segmentation are used to reconstruct a 3D model and the pixel colors of the images are used to texture it. In order to evaluate the system, we use a test where test respondents try to match real world photos of people to their corresponding avatars. Although we do not take any special care of modelling hair, which is a difficult problem, we achieve a recognition rate of 82.7 % which demonstrates that our method already can provide realistic avatars of a person with little input from the user.}},
  author       = {{Högström, Mikael}},
  issn         = {{1404-6342}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master's Theses in Mathematical Sciences}},
  title        = {{Selfie to Avatar - Creating a 3D Model of a Face from Front and Side View Photos}},
  year         = {{2016}},
}