Original Research Papers · Research Paper P1
Two Different Approaches to Handle Landmark Location Uncertainty in Skull-face Overlay: Coevolution vs Fuzzy Landmarks
Peer ReviewedISSN 2157-118XIssue date 3 April 2018
Affiliations
- European Centre for Soft Computing, C/ Gonzalo Gutierrez Quirós, s/n, 33600 Mieres, Asturias, Spain.
- Department of Computer Science and Artificial Intelligence (DECSAI and CITIC-UGR), University of Granada, C/ Daniel Saucedo Aranda, s/n, 18071 Granada, Spain.
Corresponding author: Óscar Ibáñez · oscar.ibanez@softcomputing.es
Article Summary
Summary
This study addresses uncertainty in craniofacial superimposition by comparing two ways of handling imprecise cephalometric landmark locations. A cooperative coevolutionary approach jointly searches transformation parameters and landmark positions and is compared with an earlier fuzzy-evolutionary method using real skull-face overlay cases.
Keywords: Forensic identification; Craniofacial superimposition; Skull-face overlay; Coevolution; Cooperative coevolutionary algorithm; Fuzzy landmarks; Evolutionary algorithms; Forensic science
The scholarly title and author names above are normalized from the source PDF and issue contents. Affiliation superscripts are displayed only through the affiliation list and are not part of any author name.
Publication History
Received2 April 2018
Revised2 April 2018
Accepted2 April 2018
Available Online3 April 2018
Source note: The article running header prints the year 2017, but the issue contents, citation line and online date identify this as Volume 8 Number 1 (2018). The HTML uses the official issue date 3 April 2018.
Citation Information
| Document code | P1 · Research Paper |
|---|---|
| Journal | Forensic Science Seminar |
| ISSN | 2157-118X |
| Volume / Issue | 8 / 1 |
| Pages | 19–26 |
| Official issue date | 3 April 2018 |
| Article HTML | https://fss.xxyy.info/journal/2018/2157118X.8.1.P1.html |
| Full text PDF | https://fss.xxyy.info/journal/2018/2157118X.8.1.P1.pdf |