Polygonal Models for Clothing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00223239" target="_blank" >RIV/68407700:21230/14:00223239 - isvavai.cz</a>
Result on the web
<a href="http://cmp.felk.cvut.cz/pub/cmp/articles/stria/Stria-Prusa-Hlavac-IROS-2014.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/stria/Stria-Prusa-Hlavac-IROS-2014.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-10401-0_16" target="_blank" >10.1007/978-3-319-10401-0_16</a>
Alternative languages
Result language
angličtina
Original language name
Polygonal Models for Clothing
Original language description
We address the problem of recognizing a configuration of a piece of garment fairly spread out on a flat surface. We suppose that the background surface is invariant and that its color is sufficiently dissimilar from the color of a piece of garment. Thisassumption enables quite reliable segmentation followed by extraction of the garment contour. The contour is approximated by a polygon which is then fitted to a polygonal garment model. The model is specific for each category of garment (e.g. towel, pants, shirt) and its parameters are learned from training data. The fitting procedure is based on minimization of the energy function expressing dissimilarities between observed and expected data. The fitted model provides reliable estimation of garment landmark points which can be utilized for an automated folding using a pair of robotic arms. The proposed method was experimentally verified on a dataset of images. It was also deployed to a robot and tested in a real-time automated folding.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/TE01020197" target="_blank" >TE01020197: Centre for Applied Cybernetics 3</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Autonomous Robotics Systems, 15th Annual Conference, TAROS 2014
ISBN
978-3-319-10400-3
ISSN
0302-9743
e-ISSN
—
Number of pages
12
Pages from-to
173-184
Publisher name
Springer
Place of publication
New York
Event location
Birmingham
Event date
Sep 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—