Digital Holography and Three-Dimensional Imaging,
Journal Year:
2019,
Volume and Issue:
unknown, P. W2A.4 - W2A.4
Published: Jan. 1, 2019
We
propose
a
holographic
light
field
encoding
and
decoding
technique,
which
can
greatly
reduce
the
data
size.
This
technique
has
many
potential
applications,
such
as
fast
transfer,
display
for
data.
Optics Express,
Journal Year:
2022,
Volume and Issue:
30(13), P. 22590 - 22590
Published: April 27, 2022
Close-range
3D
sensors
based
on
the
structured
light
principle
have
a
constrained
measuring
range
due
to
their
depth
of
field
(DOF).
Focus
stacking
is
method
extend
DOF.
The
additional
time
change
focus
drawback
in
high-speed
measurements.
In
our
research,
chromatic
was
applied
sensor
with
180
fps
frame
rate.
extended
DOF
evaluated
by
distance-dependent
resolution
derived
from
3D-MTF
tilted
edge.
conventional
14
mm
21
two
foci
at
455
and
520
nm
wavelength.
allowed
shape
measurements
within
44
ms.
Microplastics,
which
are
a
major
source
of
pollution
in
the
ocean,
need
to
be
accurately
detected
and
monitored.
However,
current
detection
approaches
often
require
complex
optical
instrumentation
long
time
for
image
processing.
Furthermore,
because
difficulties
particle
sampling,
it
is
hard
collect
dataset
with
sufficient
images
balanced
distribution.
Digital
holography,
non-destructive
imaging
method,
suitable
situ
imaging.
In
this
work,
we
propose
novel
digital
holography
microplastics
classification
system
combines
deep
learning
generative
adversarial
networks.
We
experimentally
show
that
our
method
yields
higher
accuracy
can
efficiently
reduce
imbalance
ratio
dataset.
This
modified
other
tasks
likewise
suffer
from
small
imbalanced
distribution
Optics Express,
Journal Year:
2023,
Volume and Issue:
31(12), P. 19766 - 19766
Published: May 15, 2023
Recently
introduced,
spaceplates
achieve
the
propagation
of
light
for
a
distance
greater
than
their
thickness.
In
this
way,
they
compress
optical
space,
reducing
required
between
elements
in
an
imaging
system.
Here
we
introduce
spaceplate
based
on
conventional
optics
4-f
arrangement,
mimicking
transfer
function
free-space
thinner
system
-
term
device
three-lens
spaceplate.
It
is
broadband,
polarization-independent,
and
can
be
used
meter-scale
space
compression.
We
experimentally
measure
compression
ratios
up
to
15.6,
replacing
4.4
meters
free-space,
three
orders
magnitude
current
spaceplates.
demonstrate
that
reduce
length
full-color
system,
albeit
with
reductions
resolution
contrast.
present
theoretical
limits
numerical
aperture
ratio.
Our
design
presents
simple,
accessible,
cost-effective
method
optically
compressing
large
amounts
space.
Light
field
(LF)
imaging
provides
rich
spatial
and
angular
information,
but
is
problematic
in
low-light
environment
as
the
images
suffer
from
low
contrast
visibility.
In
this
paper,
we
present
a
learning-based
method
to
enhance
LF
images.
A
high-dimensional
convolutional
neural
network
(CNN)
introduced
extract
spatio-angular
features
LF.
The
operates
directly
on
four-dimensional
data
rather
than
individual
sub-aperture
images,
avoiding
loss
of
geometric
information.
Color
compensation
then
performed
enhanced
coming
CNN
reduce
color
distortion.
experimental
results
show
that
proposed
achieves
noticeable
improvement
compared
with
state-of-the-art
image
restoration
techniques
both
visual
inspection
objective
assessments.
IEEE Transactions on Image Processing,
Journal Year:
2021,
Volume and Issue:
30, P. 3908 - 3921
Published: Jan. 1, 2021
This
paper
presents
a
learning-based
approach
to
synthesize
the
view
from
an
arbitrary
camera
position
given
sparse
set
of
images.
A
key
challenge
for
this
novel
synthesis
arises
reconstruction
process,
when
views
different
input
images
may
not
be
consistent
due
obstruction
in
light
path.
We
overcome
by
jointly
modeling
epipolar
property
and
occlusion
designing
convolutional
neural
network.
start
defining
computing
aperture
disparity
map,
which
approximates
parallax
measures
pixel-wise
shift
between
two
views.
While
relates
free-space
rendering
can
fail
near
object
boundaries,
we
further
develop
warping
confidence
map
address
pixel
these
challenging
regions.
The
proposed
method
is
evaluated
on
diverse
real-world
synthetic
field
scenes,
it
shows
better
performance
over
several
state-of-the-art
techniques.
Sensors,
Journal Year:
2021,
Volume and Issue:
21(22), P. 7734 - 7734
Published: Nov. 20, 2021
Light
field
imaging
plays
an
increasingly
important
role
in
the
of
three-dimensional
(3D)
reconstruction
because
its
ability
to
quickly
obtain
four-dimensional
information
(angle
and
space)
scene.
In
this
paper,
a
3D
method
light
based
on
phase
similarity
is
proposed
increase
accuracy
depth
estimation
scope
applicability
epipolar
plane
image
(EPI).
The
calibration
camera
was
used
relationship
between
disparity
depth,
projector
removed
make
experimental
procedure
more
flexible.
Then,
algorithm
designed
effectively
improve
reliability
calculation,
which
instead
structure
tensor,
morphological
processing
denoise
optimize
map.
Finally,
realized
by
combining
with
calibrated
relationship.
results
showed
that
standard
deviation
two
objects
0.3179
mm
0.3865
compared
ground
truth
measured
objects,
respectively.
Compared
traditional
EPI
method,
our
can
not
only
perform
well
single
scene
or
blurred
texture
situations
but
also
maintain
good
accuracy.
Optics Express,
Journal Year:
2022,
Volume and Issue:
30(8), P. 13070 - 13070
Published: March 2, 2022
In
this
paper,
we
use
deep
neural
networks
(DNNs)
to
simultaneously
reconstruct
the
amplitude
and
phase
information
of
complex
light
field
transmitted
in
atmospheric
turbulence
based
on
learning.
The
results
reconstruction
by
four
different
training
methods
are
compared
comprehensively.
obtained
indicate
that
method
can
more
accurately
is
input
pattern
pairs
into
network
as
two
channels
train
model.
Cureus,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 17, 2024
Background:
We
developed
a
3D
camera
system
to
track
motion
in
surgical
field.
This
has
the
potential
introduce
augmented
reality
(AR)
systems
non-invasively,
eliminating
need
for
invasive
AR
markers
conventionally
required.
The
present
study
was
performed
verify
real-time
tracking
accuracy
of
this
system,
assess
feasibility
integrating
into
workflow,
and
establish
its
enhance
efficiency
orthopedic
procedures.
Methods:
To
evaluate
technology
using
camera,
forearm
bone
model
created.
depicted
verified
terms
positional
relationship
with
created
from
previously
imaged
CT
data.
Images
field
(capturing
actual
forearm)
were
taken
saved
nine
poses
by
rotating
pronation
supination.
alignment
reference
points
computed
at
three
versus
yielding
rotation
matrix
representing
relationship.
In
original
stereo
vision-based
depth
image
resolution
1280×720
pixels,
30
frames
per
second,
lens
view
64
specifications,
baseline
3
cm,
capable
optimally
acquiring
data
distance
40-60
cm
subject
used.
modified
following
modifications
made
improve
performance:
(1)
color
filter
processing
changed
HSV
RGB,
(2)
detection
supporting
marker
sizes
8
mm
diameter,
(3)
positions
stabilized
calculating
position
each
frame.
Tracking
examined
parameters:
differences
matrix,
maximum
minimum
inter-reference
point
errors
between
CT-based
camera-based
data,
average
error
points.
Results:
difference
matrices
5.51±2.68
mm.
Average
1.10±0.61
15.53±12.51
mm,
respectively.
6.26±4.49
4.22±1.73
0.79±0.49
1.94±0.87
1.41±0.58
once
failed,
it
difficult
recover
accuracy.
resulted
large
supination
positions.
These
issues
resolved
system.
Significant
improvements
achieved
(P<0.05).
Conclusion:
developed.
allows
direct
comparisons
preoperative
scans
acquired
camera.
method
advantage
introducing
without
markers.