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

Masking and Demasking Agents01:19

Masking and Demasking Agents

4.0K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
4.0K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

948
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...
948
Nonconscious Mimicry01:13

Nonconscious Mimicry

3.6K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
3.6K
Association Areas of the Cortex01:21

Association Areas of the Cortex

10.1K
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,...
10.1K
Prosopagnosia01:24

Prosopagnosia

1.2K
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...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Slow release of ciprofloxacin from β- cyclodextrin containing drug delivery system through network formation and supramolecular interactions.

International journal of biological macromolecules·2016
Same author

Isolation and characterization of mesenchymal stem cells from caprine umbilical cord tissue matrix.

Tissue & cell·2016
Same author

Secretome Cues Modulate the Neurogenic Potential of Bone Marrow and Dental Stem Cells.

Molecular neurobiology·2016
Same author

Long-circulatory nanoparticles for gemcitabine delivery: Development and investigation of pharmacokinetics and in-vivo anticancer efficacy.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences·2016
Same author

Influence of immobilization and forced swim stress on the neurotoxicity of lambda-cyhalothrin in rats: Effect on brain biogenic amines and BBB permeability.

Neurotoxicology·2016
Same author

Isolation and characterization of alborixin from Streptomyces scabrisporus: A potent cytotoxic agent against human colon (HCT-116) cancer cells.

Chemico-biological interactions·2016
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Apr 26, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

19.5K

Recognizing disguised faces: human and machine evaluation.

Tejas Indulal Dhamecha1, Richa Singh1, Mayank Vatsa1

  • 1IIIT-Delhi, New Delhi, India.

Plos One
|July 17, 2014
PubMed
Summary
This summary is machine-generated.

This study developed an automated algorithm for verifying disguised faces, outperforming commercial systems and matching human accuracy. The research addresses challenges in face recognition due to disguise variations.

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.5K
Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

13.6K

Related Experiment Videos

Last Updated: Apr 26, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

19.5K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.5K
Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

13.6K

Area of Science:

  • Computer Science
  • Biometrics
  • Artificial Intelligence

Background:

  • Face verification is challenging for automated systems due to factors like disguise and aging.
  • Human face recognition is robust to variations, but machine performance lags.
  • Disguise variations pose significant hurdles for accurate identity verification.

Purpose of the Study:

  • To investigate human and machine performance in recognizing disguised faces.
  • To develop an automated algorithm for verifying identities under disguise.
  • To evaluate algorithm performance against commercial systems and human observers.

Main Methods:

  • Utilized automatically localized feature descriptors to identify disguised face patches.
  • Developed an algorithm incorporating feature information for improved matching accuracy.
  • Evaluated performance on the IIIT-Delhi Disguise database with 75 subjects.

Main Results:

  • The proposed algorithm demonstrated superior performance compared to a popular commercial system.
  • Algorithm's accuracy in matching disguised faces was comparable to human performance.
  • Effectiveness of feature descriptors in handling disguise variations was confirmed.

Conclusions:

  • Automated face verification algorithms can be enhanced to handle disguise variations effectively.
  • The developed algorithm offers a promising solution for robust identity verification in challenging conditions.
  • Further research can build upon these findings for more advanced biometric security systems.