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NCJ Number: 222498 Find in a Library
Title: Magna Database: A Database of Three-Dimensional Facial Images for Research in Human Identification and Recognition
Author(s): Martin Paul Evison; Richard W. Vorder Bruegge
Date Published: April 2008
Page Count: 10
Sponsoring Agency: US Dept of Justice Federal Bureau of Investigation
Quantico, VA 22135
Sale Source: US Dept of Justice Federal Bureau of Investigation
Laboratory Branch
2501 Investigation Parkway
Quantico, VA 22135
United States of America
Document: HTML
Type: Report (Technical)
Format: Document (Online)
Language: English
Country: United States of America
Annotation: This paper describes the collection and initial application in research of a database of three-dimensional (3-D) facial images in the area of human identification and recognition.
Abstract: The most common means of identifying people from photographs involves facial comparisons. The history of forensic facial comparisons extends back for many decades. However, what is lacking is a quantitative means of establishing a match between two facial images, and in the event of a match, there is no process by which to estimate the frequency of any given face shape in the general population. A key resource required to further scientific investigation in forensic facial comparison is a large database of precise facial measurements collected in 3-D, which can be used to develop tools for face-shape comparison and frequency estimation. This paper reports on the development of such a database that includes both 3-D and 2-D datasets and is available for dissemination to researchers in crime prevention and detection via agreement between government agencies. The details of data collection, database contents, and structure are presented, and its value in research and arrangements for dissemination are discussed. Tables, references
Main Term(s): Photographic identification
Index Term(s): Data analysis; Data collections; Databases; Evidence identification; Forensic sciences; Information processing; Photography; Photography techniques; Suspect identification; Victim identification
Note: From Forensic Science Communications, V 10, N 2, April 2008; downloaded April 29, 2008.
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