Applied Optics,
Год журнала:
2023,
Номер
62(9), С. 2178 - 2178
Опубликована: Фев. 13, 2023
The
measurement
model
of
binocular
vision
is
inaccurate
when
the
distance
much
different
from
calibration
distance,
which
affects
its
practicality.
To
tackle
this
challenge,
we
proposed
what
believe
to
be
a
novel
LiDAR-assisted
accuracy
improvement
strategy
for
visual
measurement.
First,
3D
points
cloud
and
2D
images
were
aligned
by
Perspective-n-Point
(PNP)
algorithm
realize
between
LiDAR
camera.
Then,
established
nonlinear
optimization
function
depth-optimization
lessen
error
depth.
Finally,
size
based
on
optimized
depth
built
verify
effectiveness
our
strategy.
experimental
results
show
that
can
improve
compared
three
stereo
matching
methods.
mean
decreased
33.46%
1.70%
at
distances.
This
paper
provides
an
effective
improving
The
human
visual
system
is
a
natural
stereovision
system.
eyes
(each
equivalent
to
camera)
observe
the
same
scene
from
two
viewpoints,
and
information
obtained
combined
in
brain
give
3D
objective
world.
In
computer
vision,
by
collecting
one
set
of
(or
more)
images
different
viewing
angles,
parallax
(disparity)
between
corresponding
pixels
can
be
means
principle
triangulation.
That
is,
difference
positions
space
point
projected
onto
these
2D
images.
depth
reconstructions
further
according
parallax.
Applied Optics,
Год журнала:
2023,
Номер
62(9), С. 2178 - 2178
Опубликована: Фев. 13, 2023
The
measurement
model
of
binocular
vision
is
inaccurate
when
the
distance
much
different
from
calibration
distance,
which
affects
its
practicality.
To
tackle
this
challenge,
we
proposed
what
believe
to
be
a
novel
LiDAR-assisted
accuracy
improvement
strategy
for
visual
measurement.
First,
3D
points
cloud
and
2D
images
were
aligned
by
Perspective-n-Point
(PNP)
algorithm
realize
between
LiDAR
camera.
Then,
established
nonlinear
optimization
function
depth-optimization
lessen
error
depth.
Finally,
size
based
on
optimized
depth
built
verify
effectiveness
our
strategy.
experimental
results
show
that
can
improve
compared
three
stereo
matching
methods.
mean
decreased
33.46%
1.70%
at
distances.
This
paper
provides
an
effective
improving
