SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Vincelli J, Calakli F, Stone M, Forrester G, Mellon T, Jarrell J. Forensic Sci. Int. 2018; 285: 129-134.

Affiliation

Materials Science Associates, Coventry, RI, United States; Brown University, Providence, RI, United States. Electronic address: johnjarrell@materialsscience.org.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.forsciint.2018.02.006

PMID

29494869

Abstract

In order to identify an object in video, a comparison with an exemplar object is typically needed. In this paper, we discuss the methodology used to identify an object detected in underwater video that was recorded during an investigation into Amelia Earhart's purported crash site. A computer aided design (CAD) model of the suspected aircraft component was created based on measurements made from orthogonally rectified images of a reference aircraft, and validated against historical photographs of the subject aircraft prior to the crash. The CAD model was then superimposed on the underwater video, and specific features on the object were geometrically compared between the CAD model and the video. This geometrical comparison was used to assess the goodness of fit between the purported object and the object identified in the underwater video.

Copyright © 2018 Elsevier B.V. All rights reserved.


Language: en

Keywords

Aircraft; Amelia Earhart; Vehicle accident; Video analysis

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print