12.11.2012 Views

Examination of Firearms Review: 2007 to 2010 - Interpol

Examination of Firearms Review: 2007 to 2010 - Interpol

Examination of Firearms Review: 2007 to 2010 - Interpol

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

make 3D test impressions <strong>of</strong> footwear when they are comparing the footwear <strong>to</strong><br />

pho<strong>to</strong>graphs <strong>of</strong> 3D crime scene impressions or <strong>to</strong> castings <strong>of</strong> these impressions.<br />

There are several products available for such use. Some are polymers that require<br />

mixing and hardening, and others are foam products that do not render fine detail.<br />

A new product, Bubber (Delta, Sweden), was recently tested by LeMay (42) and<br />

was found <strong>to</strong> be very easy <strong>to</strong> use and superior <strong>to</strong> other commonly-used products.<br />

It rendered very fine detail that could be pho<strong>to</strong>graphed and cast with dental s<strong>to</strong>ne.<br />

This product may be used for preparing 3D test impressions from tires as well.<br />

2.5 The Evidential Value <strong>of</strong> Shoeprints <strong>Examination</strong><br />

As discussed earlier in this <strong>Review</strong>, the identification <strong>of</strong> shoeprints is derived from<br />

individual characteristics found both in the suspects’ shoe outsole and in the crime<br />

scene impressions. In other, more frequent, cases, where no individual features<br />

can be identified, the examination conclusion is <strong>of</strong> the form “the examined<br />

footwear could have left the questioned impression from the crime scene”. In such<br />

cases, the evidential value <strong>of</strong> the results is <strong>of</strong>ten misunders<strong>to</strong>od and undervalued.<br />

LeMay (43) has recently discussed this issue, stressing the argument that even<br />

when only class characteristics (like outsole design, actual size and wear) are<br />

found, it is highly inclusive in nature, and must be treated as valuable evidence.<br />

Footwear impressions found at a scene are simply <strong>to</strong>o far beyond coincidental <strong>to</strong><br />

be dismissed. The example presented in this article is <strong>of</strong> a Nike athletic shoe,<br />

which was distributed in the USA in numbers exceeding 280,000 pairs (<strong>of</strong> this<br />

specific outsole thread design). That is less than 0.2% <strong>of</strong> all shoe pairs distributed<br />

annually in the USA at that time (44), while not yet taking in<strong>to</strong> account the shoe<br />

size and wear.<br />

It should be mentioned at this point that popular footwear brands, like Nike, suffer<br />

from counterfeits <strong>of</strong> their products, thus the distribution figures presented by these<br />

firms do not necessarily represent the actual share <strong>of</strong> any given outsole design in<br />

the footwear population. A paper by Wisbey (45), which focused on the Nike Air<br />

Force One sneakers, highlights some <strong>of</strong> the methods that assist the shoeprint<br />

examiners assessing likelihood that a submitted sneaker may be counterfeit.<br />

Petraco and et al (46) applied statistical techniques used in facial pattern<br />

recognition, <strong>to</strong> a minimal set <strong>of</strong> information collected from accidental patterns in<br />

five pairs <strong>of</strong> similar footwear (all <strong>of</strong> the same make, model and size), in order <strong>to</strong><br />

assess the evidential value <strong>of</strong> individual characteristics. In order <strong>to</strong> maximize the<br />

amount <strong>of</strong> potential similarity between patterns, these authors only used the<br />

coordinate locations <strong>of</strong> accidental marks <strong>to</strong> characterize the entire pattern. It was<br />

found that in 20–30 dimensional principal component (PC) space (99.5% variance<br />

retained), patterns from the same shoe, even at different points in time, tended <strong>to</strong><br />

cluster closer <strong>to</strong> each other than patterns from different shoes. This study is<br />

intended <strong>to</strong> be a starting point for future research in<strong>to</strong> building statistical models on<br />

the formation and evolution <strong>of</strong> accidental patterns.<br />

The Bayesian approach, advocated in the last decades by many forensic scientists<br />

for the application in various disciplines, has not yet been fully studied for footwear<br />

60

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!