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

Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...

You might also read

Related Articles

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

Sort by
Same author

Phase 3 PERSPECTIVE study: Ibrutinib with rituximab for initial treatment of patients with follicular lymphoma.

HemaSphere·2026
Same author

CD8 T lymphocytes deploy embryonic cell cycle control mechanisms for rapid cell proliferation.

EMBO reports·2026
Same author

Staff Perspectives on Non-Routine Compression Therapy for Inpatients With Venous Leg Ulcers: A Qualitative Study.

International wound journal·2026
Same author

Central and Peripheral Alterations of Retinal and Choroidal Vasculature in Multiple Sclerosis: Insights from Multimodal Imaging.

Ophthalmology science·2026
Same author

Multicenter Clinical Comparison of the 10-Minute AMDI Fast PCR Mini Respiratory Panel and the Cepheid Xpert Xpress CoV-2/Flu/RSV plus.

The Journal of molecular diagnostics : JMD·2026
Same author

Development and Testing of VOICES-C: A Questionnaire for Assessing the Quality and Experiences of End-of-Life Care for Children and Their Families.

Journal of palliative care·2026
Same journal

EFFECT OF FILTERING KINEMATICS ON FINITE ELEMENT SIMULATIONS OF HEAD IMPACTS IN HIGH SCHOOL FEMALE LACROSSE.

Biomedical sciences instrumentation·2026
Same journal

INHIBITING THE INHIBITOR: WOULD TARGETING PAI-1 RESULT IN A LOW-DOSE, WELL-TOLERATED TREATMENT OF EMPYEMA?

Biomedical sciences instrumentation·2026
Same journal

QUANTIFYING HEAD IMPACT EXPOSURE, MECHANISMS AND KINEMATICS USING INSTRUMENTED MOUTHGUARDS IN MALE HIGH SCHOOL LACROSSE.

Biomedical sciences instrumentation·2026
Same journal

UTILITY OF CHEST ULTRASONOGRAPHY IN QUANTIFYING CLOT AND PLEURAL EFFUSION VOLUME IN PRECLINICAL MODELS OF PLEURAL DISEASE.

Biomedical sciences instrumentation·2026
Same journal

THE ROLE OF PERIPHERAL VISION IN ENHANCING BALANCE AND POSTURAL STABILITY: INSIGHTS FROM CENTRAL VISION OBSTRUCTION.

Biomedical sciences instrumentation·2025
Same journal

IMPACT OF NON-SKID SOCKS AND ANTERIOR WEIGHT ON POSTURAL RESPONSE AND STABILITY DURING PERTURBATION.

Biomedical sciences instrumentation·2025
See all related articles

Related Experiment Video

Updated: Jun 26, 2026

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
06:48

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Dressing virtual humans from 3d scanned data.

Hui Yu1, Shengfeng Qin, David Wright

  • 1School of Design and Engineering, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK.

Biomedical Sciences Instrumentation
|January 15, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for digitally dressing 3D virtual humans using scanned data. The approach accurately extracts body features and constructs garment patterns, improving virtual clothing applications.

More Related Videos

Generation of Warfighter Avatars from Weapon Training Scene Images for Blast Exposure Simulations
06:20

Generation of Warfighter Avatars from Weapon Training Scene Images for Blast Exposure Simulations

Published on: December 6, 2024

Building Up Skin Models for Numerous Applications - from Two-Dimensional (2D) Monoculture to Three-Dimensional (3D) Multiculture
08:32

Building Up Skin Models for Numerous Applications - from Two-Dimensional (2D) Monoculture to Three-Dimensional (3D) Multiculture

Published on: October 20, 2023

Related Experiment Videos

Last Updated: Jun 26, 2026

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
06:48

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Generation of Warfighter Avatars from Weapon Training Scene Images for Blast Exposure Simulations
06:20

Generation of Warfighter Avatars from Weapon Training Scene Images for Blast Exposure Simulations

Published on: December 6, 2024

Building Up Skin Models for Numerous Applications - from Two-Dimensional (2D) Monoculture to Three-Dimensional (3D) Multiculture
08:32

Building Up Skin Models for Numerous Applications - from Two-Dimensional (2D) Monoculture to Three-Dimensional (3D) Multiculture

Published on: October 20, 2023

Area of Science:

  • Computer Graphics
  • Virtual Reality
  • Digital Fashion

Background:

  • Accurate 3D virtual human models are essential for digital fashion and virtual try-on applications.
  • Existing methods struggle with diverse body shapes and ethnicities, leading to inaccurate virtual garment fitting.
  • Automated feature extraction and pattern generation are needed for efficient virtual clothing design.

Purpose of the Study:

  • To develop an automated algorithm for extracting key body features from scanned data for 3D virtual human models.
  • To propose a robust two-step method for identifying body feature points, accommodating variations in human body shapes and ethnicities.
  • To construct garment patterns using novel methods based on extracted body features and reference skeletons.

Main Methods:

  • A two-step algorithm for body feature point extraction: region localization using head-to-body height proportions (eight-heads tall standard) and feature extraction within identified regions.
  • Development of a reference skeleton from scanned data to guide pattern construction.
  • Garment pattern generation using a radial offset method and a swept surface method.

Main Results:

  • Successful extraction of key body features and a reference skeleton from scanned 3D data.
  • A two-step feature point identification method effectively handles variations in body shapes and ethnicities.
  • Demonstrated garment pattern construction using both radial offset and swept surface techniques.

Conclusions:

  • The proposed approach offers an effective solution for dressing 3D virtual human models with diverse body types.
  • The automated feature extraction and pattern generation methods enhance the accuracy and efficiency of virtual clothing applications.
  • This work contributes to advancements in digital fashion, virtual reality, and personalized virtual try-on systems.