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Dr. KID : direct remeshing and K-set isometric decomposition for scalable physicalization of organic shapes
ID
Khan, Dawar
(
Avtor
),
ID
Bohak, Ciril
(
Avtor
),
ID
Viola, Ivan
(
Avtor
)
URL - Izvorni URL, za dostop obiščite
https://ieeexplore.ieee.org/document/10290929
PDF - Predstavitvena datoteka,
prenos
(13,83 MB)
MD5: 0C78D7BD10630B6DB4E23EA10661FE3C
Galerija slik
Izvleček
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.
Jezik:
Angleški jezik
Ključne besede:
physicalization
,
physical visualization
,
3D printing
,
isometric decomposition
,
direct remeshing
,
biological structures
,
intracellular compartments
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FRI - Fakulteta za računalništvo in informatiko
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Datum objave:
01.01.2023
Leto izida:
2023
Št. strani:
Str. 1-11
Številčenje:
Vol. , no.
PID:
20.500.12556/RUL-152635
UDK:
004.92
ISSN pri članku:
1077-2626
DOI:
10.1109/TVCG.2023.3326595
COBISS.SI-ID:
173697795
Datum objave v RUL:
01.12.2023
Število ogledov:
1001
Število prenosov:
51
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
IEEE transactions on visualization and computer graphics
Skrajšan naslov:
IEEE trans. vis. comput. graph.
Založnik:
IEEE Computer Society
ISSN:
1077-2626
COBISS.SI-ID:
114004
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
fizikalizacija
,
fizična vizualizacija
,
3D tisk
,
izometrična dekompozicija
,
neposredno premreženje
,
biološke strukture
,
celični predelki
Projekti
Financer:
Drugi - Drug financer ali več financerjev
Številka projekta:
KAUST BAS/1/1680-01-01
Naslov:
Abdullah University of Science and Technology
Financer:
Drugi - Drug financer ali več financerjev
Naslov:
KAUST Visualization Core Lab
Financer:
Drugi - Drug financer ali več financerjev
Naslov:
VCC Center Competitive Funding (CCF)
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