Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Association Areas of the Cortex

Association Areas of the Cortex

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,...

Methods of Classification and Identification

Methods of Classification and Identification

Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...

Prosopagnosia

Prosopagnosia

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...

You might also read

Related Articles

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

Sort by

Same author

A Humanized Knock-in Mouse Model of the PSEN1 V97L Mutation from a Major Chinese Alzheimer's Disease Pedigree Reveals Early Neuroinflammation.

Neuroscience bulletin·2026

Same author

Natural zeolite dose-dependently enhances conjugative transfer of antibiotic resistance genes in Escherichia coli.

Journal of hazardous materials·2026

Same author

Original Antigenic Sin on Antibody Response in SARS-CoV-2 Infection.

Infectious diseases & immunity·2026

Same author

In Vitro Fermentation of Green Tea by Human Gut Microbiota Enhances Bioactivity and Bidirectionally Modulates Polyphenol Metabolites and Gut Microbiota.

Foods (Basel, Switzerland)·2026

Same author

Modeling AI trust and AI self-efficacy in AI-assisted EFL classrooms: the role of basic psychological needs in classroom engagement.

Frontiers in psychology·2026

Same author

Trends in diet quality and associated comprehensive environmental impacts in the United States, 2001 to 2018: a serial cross-sectional study.

The American journal of clinical nutrition·2026

Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 27, 2026

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

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

Published on: December 24, 2015

Face identification using large feature sets.

William Robson Schwartz¹, Huimin Guo, Jonghyun Choi

¹Institute of Computing, University of Campinas, Campinas-SP, Brazil. schwartz@ic.unicamp.br

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|December 1, 2011

Summary

This summary is machine-generated.

This study enhances face identification accuracy, especially in uncontrolled environments, by using extensive feature descriptors and a novel tree-based structure for faster matching. The method achieves state-of-the-art results on benchmark datasets.

Related Experiment Videos

Last Updated: May 27, 2026

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

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

Published on: December 24, 2015

Area of Science:

Computer Vision
Machine Learning
Biometrics

Background:

Face identification is crucial but challenging in uncontrolled environments with limited training data.
Existing methods struggle with variations in lighting, pose, and expression.

Purpose of the Study:

To develop a robust face identification system that overcomes limitations of current approaches.
To improve accuracy and efficiency for face recognition across diverse conditions.

Main Methods:

Utilized over 70,000 feature descriptors for comprehensive face representation.
Employed partial least squares for multichannel feature weighting.
Extended the approach with a tree-based discriminative structure for efficient probe sample evaluation.

Main Results:

Achieved state-of-the-art performance on the Facial Recognition Technology (FERET) and Face Recognition Grand Challenge (FRGC) datasets.
Demonstrated superior accuracy in identifying faces acquired under varying environmental conditions.
The tree-based structure significantly reduced evaluation time for probe samples.

Conclusions:

The proposed method offers a significant advancement in face identification, particularly for real-world, uncontrolled scenarios.
The combination of rich feature descriptors and efficient structural organization provides a powerful solution for robust face recognition.