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

Piecewise-Defined Functions01:28

Piecewise-Defined Functions

Piecewise defined functions are mathematical models where different expressions define a function over distinct intervals of the domain. These functions are useful for representing systems with varying behaviors depending on input values.For example, the function:  uses a linear rule for inputs less than or equal to –1 and a quadratic rule for values greater than –1. Although it has two formulas, it still defines a single function.Another common type is the absolute value function, given...
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a cylinder...
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the time...
Routh-Hurwitz Criterion I01:15

Routh-Hurwitz Criterion I

Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
Cross Product01:25

Cross Product

The cross product is a fundamental concept in vector algebra that is a vector operation on two different vectors to obtain a third vector. Unlike the scalar product, the cross product results in a vector quantity perpendicular to both the original vectors.
The magnitude of the cross product is obtained by multiplying the magnitude of both the vectors and the sine of the angle between them. This means that a larger angle between the vectors will lead to a greater magnitude of the cross product.
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first column of the Routh...

You might also read

Related Articles

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

Sort by
Same author

Refer-ASV: Referring Multi-Object Tracking in Autonomous Surface Vehicle Navigation Scenes.

Journal of imaging·2026
Same author

Forest therapy for psychological stress and emotional disorders: a systematic review and meta-analysis.

BMC public health·2026
Same author

NExplore: Exploration with Neural Fields for Autonomous Scene Reconstruction.

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

Radiogenomics predicts immune microenvironment heterogeneity and response to combination immunotherapy in hepatocellular carcinoma.

Journal of translational medicine·2026
Same author

Graph convolutional network with adaptive grouping aggregation strategy.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Construction of a radiogenomic signature based on endoplasmic reticulum stress for predicting prognosis and systemic combination therapy response in hepatocellular carcinoma.

BMC cancer·2025

Related Experiment Video

Updated: May 30, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Partwise cross-parameterization via nonregular convex hull domains.

Huai-Yu Wu1, Chunhong Pan, Hongbin Zha

  • 1Peking University, Key Laboratory of Machine Perception (MOE), Room 2219, Science Building No. 2, Peking University, Beijing 100871, PR China. wuhy@cis.pku.edu.cn

IEEE Transactions on Visualization and Computer Graphics
|August 6, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new partwise framework for 3D mesh cross-parameterization using nonregular convex hull domains. This method simplifies complex shapes, enabling compatible mesh generation for applications like shape blending.

More Related Videos

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Related Experiment Videos

Last Updated: May 30, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Area of Science:

  • Computer Graphics
  • Computational Geometry
  • 3D Modeling

Background:

  • Cross-parameterization of 3D meshes is crucial for various geometric applications.
  • Existing methods often rely on regular parameterization domains, limiting their applicability to complex shapes.
  • A robust method for establishing shape correspondence and generating compatible meshes is needed.

Purpose of the Study:

  • To propose a novel partwise framework for cross-parameterization between 3D mesh models.
  • To introduce a nonregular domain-based approach for simplifying complex 3D shapes.
  • To facilitate accurate surface matching and shape blending through compatible mesh generation.

Main Methods:

  • A partwise framework utilizing nonregular approximation domains for cross-parameterization.
  • Construction of convex hulls for segmented parts of 3D models to build shape correspondence.
  • Adoption of a convex-hull cross-parameterization method followed by compatible remeshing algorithms.

Main Results:

  • The proposed framework successfully transforms complex input shapes into simpler ones.
  • Compatible meshes are generated, ensuring accurate geometric approximation and complete surface matching.
  • The generated compatible meshes demonstrate suitability for shape blending and other geometric applications.

Conclusions:

  • The novel partwise framework with nonregular convex hull domains offers an effective solution for 3D mesh cross-parameterization.
  • This approach simplifies complex shapes, facilitating robust shape correspondence and compatible mesh generation.
  • The method provides well-suited meshes for downstream applications such as shape blending and geometric modeling.