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Mesh Analysis01:20

Mesh Analysis

1.8K
Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
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Plastic Deformations of Members with a Single Plane of Symmetry01:21

Plastic Deformations of Members with a Single Plane of Symmetry

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When a structural member undergoes plastic deformation due to bending, it is crucial to understand the position of the neutral axis and the stress distribution. This member, characterized by a single plane of symmetry, exhibits a uniform stress distribution, with negative stress above the neutral axis and positive stress below. Notably, the neutral axis does not align with the centroid of the cross-section. This misalignment is typical in cases where the cross-section is not rectangular or...
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Related Experiment Video

Updated: Apr 11, 2026

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models
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Reversible data hiding for 3D mesh models based on spatial polygon prediction and dual sorting.

Qingjun Wang1, Qilong Zhang2, Xiaoying Song3

  • 1School of Artificial Intelligence, Dalian Neusoft University of Information, Dalian, 116023, China.

Scientific Reports
|April 9, 2026
PubMed
Summary

This study introduces a novel reversible data hiding method for 3D models, enhancing embedding capacity and reducing distortion. The technique balances prediction accuracy and data integrity for 3D mesh models.

Keywords:
3D mesh modelsDual sortingPredictionReversible data hiding

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Area of Science:

  • Computer Science
  • Digital Media Security

Background:

  • Reversible Data Hiding (RDH) is vital for digital media copyright protection and integrity verification.
  • Existing RDH research primarily focuses on 2D images, with limited exploration of 3D models.

Purpose of the Study:

  • To propose a novel Reversible Data Hiding (RDH) method specifically for 3D mesh models.
  • To address the gap in RDH research for 3D data and improve embedding capacity and data integrity.

Main Methods:

  • A three-layer vertex division mechanism for a two-round embedding process to increase embedding capacity.
  • A spatial polygon prediction scheme to enhance prediction accuracy while maintaining embedding capacity.
  • A dual sorting strategy considering angular smoothness and edge-length regularity for embedding into smoother units, minimizing geometric distortion.
  • Prediction Error Expansion (PEE) technique guided by dual sorting for reversible data embedding.

Main Results:

  • The proposed method demonstrates a superior balance between high embedding capacity and low geometric distortion.
  • Achieves better performance compared to existing state-of-the-art spatial-domain RDH methods for 3D mesh models.

Conclusions:

  • The novel RDH method effectively enhances embedding capacity and minimizes geometric distortion in 3D mesh models.
  • This research contributes a significant advancement in the field of data hiding for 3D digital media.