Buck, Ursula; Albertini, Nicola; Naether, Silvio; Thali, Michael J (2006). 3D documentation of footwear impressions and tyre tracks in snow with high resolution optical surface scanning. Forensic science international, 171(2-3), pp. 157-164. Shannon: Elsevier Scientific Publ. Ireland 10.1016/j.forsciint.2006.11.001
Full text not available from this repository.The three-dimensional documentation of footwear and tyre impressions in snow offers an opportunity to capture additional fine detail for the identification as present photographs. For this approach, up to now, different casting methods have been used. Casting of footwear impressions in snow has always been a difficult assignment. This work demonstrates that for the three-dimensional documentation of impressions in snow the non-destructive method of 3D optical surface scanning is suitable. The new method delivers more detailed results of higher accuracy than the conventional casting techniques. The results of this easy to use and mobile 3D optical surface scanner were very satisfactory in different meteorological and snow conditions. The method is also suitable for impressions in soil, sand or other materials. In addition to the side by side comparison, the automatic comparison of the 3D models and the computation of deviations and accuracy of the data simplify the examination and delivers objective and secure results. The results can be visualized efficiently. Data exchange between investigating authorities at a national or an international level can be achieved easily with electronic data carriers.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Service Sector > Institute of Legal Medicine |
UniBE Contributor: |
Buck, Ursula, Thali, Michael |
ISSN: |
0379-0738 |
ISBN: |
17161568 |
Publisher: |
Elsevier Scientific Publ. Ireland |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:47 |
Last Modified: |
05 Dec 2022 14:14 |
Publisher DOI: |
10.1016/j.forsciint.2006.11.001 |
PubMed ID: |
17161568 |
Web of Science ID: |
000249297500012 |
URI: |
https://boris.unibe.ch/id/eprint/19334 (FactScience: 1869) |
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