Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Capacitive heating devices for therapeutic hyperthermia: a review of essential physical characteristics and challenges.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]·2026
Same author

Real-World Experience With Secukinumab for Hidradenitis Suppurativa: A Multicenter Retrospective Analysis of 263 Patients From the SECU-SPAIN Study.

Actas dermo-sifiliograficas·2025
Same author

[Smartphone Funduscopic Examination by Medical Students: The FUSOMED Project].

Journal francais d'ophtalmologie·2025
Same author

Growth rate is related to elongation of RNA polymerase II transcription in Saccharomyces cerevisiae.

Biochimica et biophysica acta. Gene regulatory mechanisms·2025
Same author

Retinal vascular occlusion as presenting sign of occult gynecological cancer.

Journal francais d'ophtalmologie·2025
Same author

[Ten-year study of the epidemiology and clinical features of uveitis in Picardie, France].

Journal francais d'ophtalmologie·2025

Related Experiment Video

Updated: Apr 20, 2026

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
06:26

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry

Published on: December 9, 2025

331

Computer vision and soft computing for automatic skull-face overlay in craniofacial superimposition.

B Rosario Campomanes-Álvarez1, O Ibáñez1, F Navarro2

  • 1European Centre for Soft Computing, 33600 Mieres, Asturias, Spain.

Forensic Science International
|December 3, 2014
PubMed
Summary

Automating skull-face overlay in craniofacial superimposition using computer vision and soft computing reduces subjectivity and time. This novel method aids forensic anthropologists in identifying human remains more efficiently.

Keywords:
Computer visionCraniofacial superimpositionForensic anthropologyFuzzy landmarksSkull–face overlaySoft computing

More Related Videos

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.7K
Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery
14:15

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery

Published on: January 11, 2020

7.8K

Related Experiment Videos

Last Updated: Apr 20, 2026

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry
06:26

Quantitative Assessment Protocol for Facial Soft Tissue Volumetric Changes with Stereophotogrammetry

Published on: December 9, 2025

331
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.7K
Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery
14:15

Multicolor 3D Printing of Complex Intracranial Tumors in Neurosurgery

Published on: January 11, 2020

7.8K

Area of Science:

  • Forensic Anthropology
  • Computer Vision
  • Soft Computing

Background:

  • Craniofacial superimposition is crucial for identifying human skeletal remains by comparing skulls with ante mortem images.
  • The skull-face overlay stage is subjective, time-consuming, and prone to errors due to its trial-and-error nature.
  • Current methods lack objective quality assessment, hindering reliable identification.

Purpose of the Study:

  • To develop and analyze an automated method for skull-face overlay in craniofacial superimposition.
  • To leverage computer vision and soft computing to address the limitations of manual overlay techniques.
  • To provide an objective and efficient tool for forensic anthropologists.

Main Methods:

  • Utilized computer vision and soft computing techniques to model the skull-face overlay problem.
  • Developed an automatic technical procedure for skull-face overlay.
  • Tested the procedure on two craniofacial superimposition cases, generating four overlays.

Main Results:

  • The developed automatic procedure successfully models the skull-face overlay problem.
  • The automated method significantly reduces the time and subjectivity associated with manual overlay.
  • Objective assessment of overlay quality becomes feasible with computational methods.

Conclusions:

  • Computer vision and soft computing offer powerful tools for automating the challenging skull-face overlay process.
  • The proposed automatic procedure aids forensic anthropologists by providing an unbiased and efficient solution.
  • This automation enhances the reliability and efficiency of craniofacial superimposition in missing person investigations.