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

Prosopagnosia01:24

Prosopagnosia

155
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
155
Association Areas of the Cortex01:21

Association Areas of the Cortex

5.2K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
5.2K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

139
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
139
Muscles for Facial Expressions01:14

Muscles for Facial Expressions

2.0K
The craniofacial muscles are a collection of approximately 20 thin skeletal muscles situated beneath the skin of the face and scalp. These muscles, primarily responsible for the vast array of human facial expressions, originate from the bones or fibrous structures of the skull and extend outwards to connect with the skin. While most skeletal muscles in the body are enveloped in thick fascia, facial muscles generally have a more delicate fascial covering, with the buccinator muscle being a...
2.0K

You might also read

Related Articles

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

Sort by
Same author

Dental age estimation: a scoping review comparing the manual application of the Demirjian method and artificial intelligence modalities.

International journal of legal medicine·2026
Same author

Evaluation of ultra-low and low-dose CT skeletal survey for fracture detection in assessments for suspected non-accidental injury: a prospective post-mortem study.

Skeletal radiology·2025
Same author

An analysis of offence patterns and legal response to one-punch fatalities in Australia.

Medicine, science, and the law·2025
Same author

A critical review of medicolegal research and information asymmetries in investigating cases of extrajudicial executions and forced disappearances.

International journal of legal medicine·2025
Same author

Strategies to overcome barriers to the statistical representation of femicide data-a technical note.

International journal of legal medicine·2025
Same author

Analysing the impact of legal and procedural frameworks on the socio-cultural and political dynamics of extrajudicial killings and forced disappearances.

Forensic science international·2024

Related Experiment Video

Updated: Jun 23, 2025

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

14.1K

Facial recognition for disaster victim identification.

Dana Michalski1, Christopher Malec1, Eden Clothier1

  • 1Defence Science and Technology Group, P.O. Box 1500, Edinburgh, SA 5111, Australia.

Forensic Science International
|June 22, 2024
PubMed
Summary

Facial recognition technology can help identify victims after mass disasters. This study shows its value in disaster victim identification (DVI), especially with good image quality, by speeding up the process.

Keywords:
BiometricsDisaster victim identificationFacial recognitionHuman identificationPost-mortem identification

More Related Videos

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.0K
Detection and Removal of Tooth-Colored Composite Resin Using the Fluorescence-Aided Identification Technique
05:42

Detection and Removal of Tooth-Colored Composite Resin Using the Fluorescence-Aided Identification Technique

Published on: July 27, 2022

3.5K

Related Experiment Videos

Last Updated: Jun 23, 2025

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

14.1K
Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.0K
Detection and Removal of Tooth-Colored Composite Resin Using the Fluorescence-Aided Identification Technique
05:42

Detection and Removal of Tooth-Colored Composite Resin Using the Fluorescence-Aided Identification Technique

Published on: July 27, 2022

3.5K

Area of Science:

  • Forensic Science
  • Computer Vision
  • Biometrics

Background:

  • Disaster victim identification (DVI) traditionally relies on DNA, fingerprints, and dental records.
  • Ante-mortem data for these primary identifiers may be unavailable or difficult to obtain after mass casualty events.
  • Advancements in automated facial recognition and accessibility of ante-mortem facial images present a potential solution.

Purpose of the Study:

  • To explore the feasibility of using automated facial recognition technology to support DVI.
  • To evaluate the performance of a commercial facial recognition algorithm on post-mortem versus ante-mortem images.
  • To assess the impact of image quality and cause of death on facial recognition accuracy in a DVI context.

Main Methods:

  • Evaluation of a commercial-off-the-shelf facial recognition algorithm.
  • Comparison of post-mortem images against a database of ante-mortem images (e.g., from identity documents).
  • Analysis of performance across various operational scenarios, image quality levels, and causes of death.

Main Results:

  • Facial recognition technology demonstrated value in supporting DVI processes.
  • Performance varied significantly based on the quality of the facial images.
  • Cause of death was also found to influence the accuracy of facial recognition matches.
  • This represents the largest evaluation of facial recognition for post-mortem and ante-mortem images to date.

Conclusions:

  • Automated facial recognition is a valuable tool for expediting disaster victim identification.
  • Image quality and cause of death are critical factors affecting system performance.
  • Further research is recommended to optimize facial recognition application in DVI.