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

Modeling and Similitude

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...

Parametric Surfaces

Parametric Surfaces

A parametric surface in three-dimensional space is defined through a vector-valued function\begin{equation*}\mathbf{r}(u, v) = x(u, v)\mathbf{i} + y(u, v)\mathbf{j} + z(u, v)\mathbf{k}\end{equation*}where u and v are parameters within a specified domain D in the uv-plane. The functions x(u, v), y(u, v), and z(u, v) define the coordinates of points on the surface. As u and v vary over D, the position vector r(u, v) traces a continuous surface in space. This parametric representation is essential...

You might also read

Related Articles

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

Sort by

Same author

MOF-derived high-entropy antiperovskite carbonitrides for efficient oxygen evolution.

Chemical communications (Cambridge, England)·2026

Same author

Global Divergence in Hypertension Standards: Cardiovascular Outcomes Under U.S. (≥130/80) Versus European/Chinese (≥140/90) Diagnostic Thresholds in HRS, CHARLS, and ELSA.

American journal of preventive medicine·2026

Same author

Potential circadian rhythm-related pathogenic genes in diabetic nephropathy: a multi-omics Mendelian randomization study.

Renal failure·2026

Same author

From Structure to Semantics: Hypergraph-Based AR Assembly Guidance with LLM-Mediated Narration.

IEEE transactions on visualization and computer graphics·2026

Same author

[Research Progress on Glycolytic Reprogramming and Lactylation Crosstalk in Tumors].

Zhongguo fei ai za zhi = Chinese journal of lung cancer·2026

Same author

Association of a novel triglyceride-glucose and non-HDL-to-HDL cholesterol ratio (TyG-NHHR) index with cardiometabolic multimorbidity: a dual-cohort prospective study in Chinese and European adults.

Journal of health, population, and nutrition·2026

Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026

Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026

Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026

Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026

Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026

Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 8, 2026

The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression

The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression

Published on: August 3, 2011

Implicit 3D Human Reconstruction Guided by Parametric Models and Normal Maps.

Yong Ren^1,2, Mingquan Zhou^1,2, Yifan Wang^1,2

¹School of Information Science and Technology, Northwest University, Xi'an 710127, China.

Journal of Imaging

|June 26, 2024

Summary

This summary is machine-generated.

This study introduces IHRPN, a new method for creating detailed 3D human models from single images, significantly improving the reconstruction of loose clothing. The approach enhances accuracy and robustness in 3D human modeling, overcoming limitations of prior techniques.

Keywords:

human reconstruction local feature parametric model

More Related Videos

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Published on: February 25, 2021

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

Published on: October 20, 2023

Related Experiment Videos

Last Updated: Jun 8, 2026

The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression

The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression

Published on: August 3, 2011

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Construction of a Realistic, Whole-Body, Three-Dimensional Equine Skeletal Model using Computed Tomography Data

Published on: February 25, 2021

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

Published on: October 20, 2023

Area of Science:

Computer Vision
3D Reconstruction
Human Pose Estimation

Background:

Accurate 3D human modeling from single images is challenging, with existing methods struggling with detail and loose clothing.
Parameterized models constrain reconstructions but limit the recovery of complex clothing dynamics.

Purpose of the Study:

To propose an end-to-end method, IHRPN, for robust 3D clothed human reconstruction from a single 2D image.
To enhance the accuracy and detail recovery, especially for loose clothing, in 3D human models.

Main Methods:

Developed an IHRPN method featuring a semantic feature extraction module for pixel-to-model space consistency.
Integrated image features with SMPL-X mesh recovery and a normal map to guide implicit surface reconstruction.
Employed local features for implicit surface regression, deviating from traditional global approaches.

Main Results:

IHRPN demonstrated excellent performance on the CAPE and AGORA datasets.
Achieved noticeably more accurate and robust reconstructions of loose clothing compared to existing methods.
Validated the effectiveness of semantic feature extraction and local implicit surface regression.

Conclusions:

The proposed IHRPN method significantly advances 3D clothed human reconstruction from single images.
Achieves superior detail and robustness, particularly for challenging loose clothing scenarios.
Offers a promising direction for more realistic and accurate human modeling in computer vision.