Building Accurate Physics-based Face Models from Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10407992" target="_blank" >RIV/00216208:11320/19:10407992 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=P~ui_0xA1G" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=P~ui_0xA1G</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3340256" target="_blank" >10.1145/3340256</a>
Alternative languages
Result language
angličtina
Original language name
Building Accurate Physics-based Face Models from Data
Original language description
The human face is an anatomical system exhibiting heterogenous and anisotropic mechanical behavior. This leads to complex deformations even in a neutral facial expression due to external forces such as gravity. We start by building a volumetric model from magnetic resonance images of a neutral facial expression. To obtain data on facial deformations we capture and register 3D scans of the face with different gravity directions and with various facial expressions. Our main contribution consists in solving an inverse physics problem where we learn mechanical properties of the face from our training data (3D scans). Specifically, we learn heterogenous stiffness and prestrain (which introduces anisotropy). The generalization capability of our resulting physics-based model is tested on 3D scans. We demonstrate that our model generates predictions of facial deformations more accurately than recent related physics-based techniques.
Czech name
—
Czech description
—
Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Proceedings of the ACM on Computer Graphics and Interactive Techniques
ISSN
2577-6193
e-ISSN
—
Volume of the periodical
2019 / 2
Issue of the periodical within the volume
2019 / 7
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
"nestrankovano"
UT code for WoS article
—
EID of the result in the Scopus database
—