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

Association Areas of the Cortex01:21

Association Areas of the Cortex

8.2K
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,...
8.2K
Prosopagnosia01:24

Prosopagnosia

586
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...
586
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

447
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...
447
Muscles for Facial Expressions01:14

Muscles for Facial Expressions

4.2K
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...
4.2K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

1.7K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
1.7K
Force Classification01:22

Force Classification

2.1K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.1K

You might also read

Related Articles

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

Sort by
Same author

Stereoselective synthesis of 1,4-diols by a tandem allylboration-allenylboration sequence.

Organic letters·2015
Same author

The effect of lactic acid bacteria on cocoa bean fermentation.

International journal of food microbiology·2015
Same author

The performance of a combined nitritation-anammox reactor treating anaerobic digestion supernatant under various C/N ratios.

Journal of environmental sciences (China)·2015
Same author

Cytotoxicity profile of novel sterically hindered platinum(II) complexes with (1R,2R)-N(1),N(2)-dibutyl-1,2-diaminocyclohexane.

European journal of medicinal chemistry·2015
Same author

Functional Proteomics Study Reveals SUMOylation of TFII-I is Involved in Liver Cancer Cell Proliferation.

Journal of proteome research·2015
Same author

Bisulfite pretreatment changes the structure and properties of oil palm empty fruit bunch to improve enzymatic hydrolysis and bioethanol production.

Biotechnology journal·2015
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Achieving Text-based Person Retrieval with Any Granularity.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Dec 13, 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

14.5K

Towards Age-Invariant Face Recognition.

Jian Zhao, Shuicheng Yan, Jiashi Feng

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |August 6, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Recognizing faces across different ages is challenging due to appearance changes. This study introduces a deep Age-Invariant Model (AIM) that jointly synthesizes faces and performs recognition, improving age-invariant face recognition performance.

    More Related Videos

    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
    10:28

    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

    Published on: July 24, 2019

    15.8K
    Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
    06:50

    Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

    Published on: October 30, 2018

    9.8K

    Related Experiment Videos

    Last Updated: Dec 13, 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

    14.5K
    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
    10:28

    Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

    Published on: July 24, 2019

    15.8K
    Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
    06:50

    Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

    Published on: October 30, 2018

    9.8K

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Biometrics

    Background:

    • Face recognition technology faces challenges in accurately identifying individuals across different ages due to significant appearance variations.
    • Current age-invariant face recognition methods often involve separate age synthesis or feature extraction steps, limiting their effectiveness.

    Purpose of the Study:

    • To develop a novel deep learning model for robust age-invariant face recognition in unconstrained environments.
    • To jointly perform cross-age face synthesis and recognition to leverage mutual benefits.
    • To create a new large-scale benchmark dataset for cross-age face recognition research.

    Main Methods:

    • Proposed a unified deep architecture, the Age-Invariant Model (AIM), for joint face synthesis and recognition.
    • Developed continuous face rejuvenation/aging techniques preserving identity and photorealism without paired data.
    • Implemented novel training strategies for end-to-end learning, generating age-disentangled representations.

    Main Results:

    • The AIM model demonstrated superior performance over state-of-the-art methods on multiple cross-age datasets (CAFR, MORPH, CACD, FG-NET).
    • Achieved continuous and photorealistic face aging/rejuvenation while preserving identity.
    • Showcased strong generalization ability on unconstrained face recognition benchmarks (YTF, IJB-C).

    Conclusions:

    • The proposed AIM model effectively addresses the challenge of age variation in face recognition by jointly synthesizing and recognizing faces.
    • The developed model and dataset advance the field of age-invariant face recognition, offering improved accuracy and generalization.