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Dr. KID : direct remeshing and K-set isometric decomposition for scalable physicalization of organic shapes
ID
Khan, Dawar
(
Author
),
ID
Bohak, Ciril
(
Author
),
ID
Viola, Ivan
(
Author
)
URL - Source URL, Visit
https://ieeexplore.ieee.org/document/10290929
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(13,83 MB)
MD5: 0C78D7BD10630B6DB4E23EA10661FE3C
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Abstract
Dr. KID is an algorithm that uses isometric decomposition for the physicalization of potato-shaped organic models in a puzzle fashion. The algorithm begins with creating a simple, regular triangular surface mesh of organic shapes, followed by iterative K-means clustering and remeshing. For clustering, we need similarity between triangles (segments) which is defined as a distance function. The distance function maps each triangle's shape to a single point in the virtual 3D space. Thus, the distance between the triangles indicates their degree of dissimilarity. K-means clustering uses this distance and sorts segments into k classes. After this, remeshing is applied to minimize the distance between triangles within the same cluster by making their shapes identical. Clustering and remeshing are repeated until the distance between triangles in the same cluster reaches an acceptable threshold. We adopt a curvature-aware strategy to determine the surface thickness and finalize puzzle pieces for 3D printing. Identical hinges and holes are created for assembling the puzzle components. For smoother outcomes, we use triangle subdivision along with curvature-aware clustering, generating curved triangular patches for 3D printing. Our algorithm was evaluated using various models, and the 3D-printed results were analyzed. Findings indicate that our algorithm performs reliably on target organic shapes with minimal loss of input geometry.
Language:
English
Keywords:
physicalization
,
physical visualization
,
3D printing
,
isometric decomposition
,
direct remeshing
,
biological structures
,
intracellular compartments
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FRI - Faculty of Computer and Information Science
Publication status:
Published
Publication version:
Version of Record
Publication date:
01.01.2023
Year:
2023
Number of pages:
Str. 1-11
Numbering:
Vol. , no.
PID:
20.500.12556/RUL-152635
UDC:
004.92
ISSN on article:
1077-2626
DOI:
10.1109/TVCG.2023.3326595
COBISS.SI-ID:
173697795
Publication date in RUL:
01.12.2023
Views:
1003
Downloads:
51
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Record is a part of a journal
Title:
IEEE transactions on visualization and computer graphics
Shortened title:
IEEE trans. vis. comput. graph.
Publisher:
IEEE Computer Society
ISSN:
1077-2626
COBISS.SI-ID:
114004
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
fizikalizacija
,
fizična vizualizacija
,
3D tisk
,
izometrična dekompozicija
,
neposredno premreženje
,
biološke strukture
,
celični predelki
Projects
Funder:
Other - Other funder or multiple funders
Project number:
KAUST BAS/1/1680-01-01
Name:
Abdullah University of Science and Technology
Funder:
Other - Other funder or multiple funders
Name:
KAUST Visualization Core Lab
Funder:
Other - Other funder or multiple funders
Name:
VCC Center Competitive Funding (CCF)
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