Objective quantification of dynamic spatial distortions for enhanced realism in virtual environments
Virtual Reality,
Год журнала:
2025,
Номер
29(1)
Опубликована: Янв. 29, 2025
Язык: Английский
Big Data-Driven Innovation in University Ceramic Education and Teaching Practices
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2025,
Номер
10(1)
Опубликована: Янв. 1, 2025
Abstract
Pottery
education
often
relies
on
subjective
feedback
and
delayed
evaluations,
which
can
hinder
students’
skill
development
creative
expression.
Traditional
methods
lack
the
ability
to
provide
real-time,
personalized
guidance,
is
critical
in
hands-on
learning
environments.
To
address
these
limitations,
we
propose
a
novel
system
based
Spatio-Temporal
Graph
Convolutional
Network
(ST-GCN)
that
integrates
an
attention
mechanism,
real-time
feedback,
adaptive
learning.
The
ST-GCN
model
designed
monitor
behavior
during
pottery-making,
providing
immediate
improve
both
technical
skills
creativity.
model’s
key
advantages
include
its
capture
spatio-temporal
relationships
student
actions,
dynamically
prioritize
important
movements,
tailor
task
difficulty
performance.
Experimental
results
show
proposed
outperforms
traditional
models
such
as
RNN-LSTM
CNN-based
approaches
metrics
like
completion
time,
improvement,
effectiveness.
ablation
study
further
demonstrates
importance
of
each
component,
with
significant
performance
declines
when
components
are
removed.
This
research
provides
efficient,
data-driven
solution
for
pottery
education,
offering
individualized
enhances
proficiency
exploration.
represents
meaningful
step
toward
optimizing
process
art
through
advanced
machine
techniques.
Язык: Английский
Color Models in the Process of 3D Digitization of an Artwork for Presentation in a VR Environment of an Art Gallery
Electronics,
Год журнала:
2024,
Номер
13(22), С. 4431 - 4431
Опубликована: Ноя. 12, 2024
This
study
deals
with
the
color
reproduction
of
a
work
art
to
digitize
it
into
3D
realistic
model.
The
experiment
aims
for
application
in
virtual
reality
environment
concerning
faithful
reproduction.
Photogrammetry
and
scanning
LiDAR
sensor
are
used
compare
methods
colors
during
reconstruction
An
innovative
tablet
camera
is
both
methods.
At
same
time,
current
findings
from
field
vision
colorimetry
applied
reconstruction.
focuses
on
working
RGB
L*a*b*
models
and,
simultaneously,
sRGB,
CIE
XYZ,
Rec.2020(HDR)
spaces
transforming
environment.
For
this
purpose,
defined
Hex
Color
Value
format.
starting
point
further
research
digital
represents
partial
contribution
much-discussed
area
forgeries
works
trends
forensics
forgery.
Язык: Английский