Challenges in Modeling, Interpreting, and Drawing Conclusions from Images as Forensic Evidence
Karen Kafadar,
No information about this author
Alicia L. Carriquiry
No information about this author
Statistics and data science in imaging.,
Journal Year:
2024,
Volume and Issue:
1(1)
Published: Jan. 1, 2024
Language: Английский
Assessing forensic ballistics three-dimensionally through graphical reconstruction and immersive VR observation
Multimedia Tools and Applications,
Journal Year:
2022,
Volume and Issue:
82(13), P. 20655 - 20681
Published: Oct. 21, 2022
Abstract
A
crime
scene
can
provide
valuable
evidence
critical
to
explain
reason
and
modality
of
the
occurred
crime,
it
also
lead
arrest
criminals.
The
type
collected
by
investigators
or
law
enforcement
may
accordingly
effective
involved
cases.
Bullets
cartridge
cases
examination
is
paramount
importance
in
forensic
science
because
they
contain
traces
microscopic
striations,
impressions
markings,
which
are
unique
reproducible
as
“ballistic
fingerprints”.
analysis
bullets
a
complicated
challenging
process,
typically
based
on
optical
comparison,
leading
identification
employed
firearm.
New
methods
have
recently
been
proposed
for
more
accurate
comparisons,
rely
three-dimensionally
reconstructed
data.
This
paper
aims
at
further
advancing
recent
introducing
novel
immersive
technique
ballistics
comparison
means
Virtual
Reality.
Users
examine
shapes
through
intuitive
natural
gestures,
from
any
vantage
viewpoint
(including
internal
iper-magnified
views),
while
having
their
disposal
sets
visual
aids
could
not
be
easily
implemented
desktop-based
applications.
user
study
was
conducted
assess
viability
performance
our
solution,
fourteen
individuals
acquainted
with
standard
procedures
used
agencies.
Results
clearly
indicated
that
approach
faster
adaptation
users
UI/UX
explainable
results.
Language: Английский
Generalizable features-based method for breech face comparisons
Published: Sept. 13, 2024
Language: Английский
Reporting likelihood ratio for casework in firearm evidence identification
John Song,
No information about this author
Huixu Song
No information about this author
Journal of Forensic Sciences,
Journal Year:
2022,
Volume and Issue:
68(2), P. 399 - 406
Published: Dec. 18, 2022
Likelihood
ratio
(LR)
plays
an
important
role
in
estimating
the
weight
of
evidence
firearm
identifications.
LR
is
computed
from
a
statistical
model
including
distribution
known-matching
(KM
or
within)
and
known-nonmatching
(KNM
between)
comparison
scores.
Current
procedures
rely
on
KM/KNM
scores
existing
reference
toolmark
data
sets
alternatively
generating
set
test
fires
using
multiple
firearms.
Both
may
contain
theoretical
practical
issues
which
hinder
reporting
unbiased
estimation
casework.
In
this
paper,
was
established
firearms,
each
test-fired
two
cartridge
cases,
resulting
basic
control
set.
The
congruent
matching
cells
(CMC)
method
used
to
generate
CMC
that
are
fit
distributions
for
estimation.
initial
test,
130
firearms
eight
manufacturers
were
consisting
260
cases
representing
KM
8385
KNM
pairwise
breech
face
images.
Test
results
showed
intersect
at
=
2,
equivalent
1
(equally
support
both
prosecutor
defense
propositions).
When
threshold
increased
6
more,
values
higher
than
million,
can
provide
extremely
strong
conclusion
same
(or
prosecutor's
proposition)
casework
identification.
Language: Английский