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

Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

694
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
694

You might also read

Related Articles

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

Sort by
Same author

Mitophagy deficiency and calcium dyshomeostasis underlying the pathogenesis and progression of Alzheimer's disease.

Journal of Alzheimer's disease : JAD·2026
Same author

Lodicule Isolation and Morphometric Analysis During Rice Floret Opening.

Bio-protocol·2026
Same author

NADH-Dependent Oxidoreductase Activity Assay of OsAIM1 Using a Microplate Reader.

Bio-protocol·2026
Same author

Similar Findings on 18F-FDG PET/CT and 68Ga-DOTATATE PET/CT in a Patient With Extraskeletal Ewing Sarcoma.

Clinical nuclear medicine·2026
Same author

18F-FCH PET/CT Localizes Ectopic Parathyroid Adenoma.

Clinical nuclear medicine·2026
Same author

PEG<sub>4</sub>-Modified FAP-CAIX Heterodimeric Radioligand for Precision Imaging and Radiotherapy.

Journal of medicinal chemistry·2026

Related Experiment Video

Updated: Apr 30, 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

347

Nonrigid-deformation recovery for 3D face recognition using multiscale registration.

Liang Cai, Feipeng Da

    IEEE Computer Graphics and Applications
    |May 9, 2014
    PubMed
    Summary

    This study introduces a novel method for face recognition by accurately mapping nonrigid shape deformations. The technique achieves high accuracy in identification and verification rates, improving facial recognition systems.

    More Related Videos

    Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
    10:59

    Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

    Published on: July 26, 2014

    13.9K
    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    2.0K

    Related Experiment Videos

    Last Updated: Apr 30, 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

    347
    Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
    10:59

    Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

    Published on: July 26, 2014

    13.9K
    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    2.0K

    Area of Science:

    • Computer Vision
    • Biometrics
    • Geometric Modeling

    Background:

    • Nonrigid deformation is crucial for accurate face recognition.
    • Existing methods struggle with precise registration of facial shapes.
    • Integrating geometric decomposition can enhance registration accuracy.

    Purpose of the Study:

    • To develop a robust method for extracting nonrigid facial deformation.
    • To improve the accuracy of face recognition systems through enhanced shape registration.
    • To evaluate the proposed method on a large-scale face dataset.

    Main Methods:

    • Shape decomposition using manifold harmonics into low- and high-frequency components.
    • Integration of geometric shape decomposition with nonrigid point-set registration.
    • Application of a modified registration algorithm to derive deformation parameters.

    Main Results:

    • The method demonstrated superior accuracy in fitting facial shapes.
    • Achieved 98.2% identification accuracy on the FRGC v2 database.
    • Reached 97.4% verification accuracy at a 0.001 false acceptance rate.

    Conclusions:

    • The proposed method effectively extracts nonrigid deformation for face recognition.
    • The integration of geometric decomposition and advanced registration significantly improves performance.
    • This approach offers a promising advancement for biometric security systems.