ICTree: Automatic Perceptual Metrics for Tree Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU139209" target="_blank" >RIV/00216305:26230/21:PU139209 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/21:00355963
Result on the web
<a href="https://doi.org/10.1145/3478513.3480519" target="_blank" >https://doi.org/10.1145/3478513.3480519</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3478513.3480519" target="_blank" >10.1145/3478513.3480519</a>
Alternative languages
Result language
angličtina
Original language name
ICTree: Automatic Perceptual Metrics for Tree Models
Original language description
Many algorithms for synthetic tree generation exist, but the visual quality of the generated models is unknown. This problem is usually solved by performing limited user studies or by side-by-side comparison. We introduce an automated system for quality assessment of the tree model based on their perception. We conducted a user study in which over one million pairs of images were compared to collect subjective perceptual scores of generated trees. The perceptual score was used to train two neural-network-based predictors. A view independent ICTreeF uses the tree models geometric features that are easy to extract from any model. The second is ICTreeI that estimates the perceived visual quality of a tree from its image. Moreover, to provide an insight into the problem, we deduce intrinsic attributes and evaluate which features make trees look like real trees. In particular, we show that branching angles, length of branches, and widths are critical for perceived realism.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACM TRANSACTIONS ON GRAPHICS
ISSN
0730-0301
e-ISSN
1557-7368
Volume of the periodical
40
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
1-15
UT code for WoS article
000729846700035
EID of the result in the Scopus database
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