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 Experiment Videos

On linear variational surface deformation methods.

Mario Botsch1, Olga Sorkine

  • 1Computer Graphis Laboratory, ETH Zurich, Zurich, Switzerland. botsch@inf.ethz.ch

IEEE Transactions on Visualization and Computer Graphics
|November 13, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

From body hulls to musculoskeletal models: Personalized inertial parameter estimation.

PloS one·2026
Same author

Am I Still Me? Visual Congruence Across Reality-Virtuality and Avatar Appearance in Shaping Self-Perception and Behavior.

IEEE transactions on visualization and computer graphics·2026
Same author

Virtual body image exercises for people with obesity - results on eating behavior and body perception of the ViTraS pilot study.

BMC medical informatics and decision making·2025
Same author

Self-Similarity Beats Motor Control in Augmented Reality Body Weight Perception.

IEEE transactions on visualization and computer graphics·2025
Same author

Minimalism or Creative Chaos? On the Arrangement and Analysis of Numerous Scatterplots in Immersive 3D Knowledge Spaces.

IEEE transactions on visualization and computer graphics·2025
Same author

Coverage of Facial Expressions and Its Effects on Avatar Embodiment, Self-Identification, and Uncanniness.

IEEE transactions on visualization and computer graphics·2025
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

This survey explores linear variational mesh deformation for editing complex 3D models. These fast, robust techniques preserve geometric details for intuitive, realistic surface manipulation in interactive applications.

Area of Science:

  • Computer Graphics
  • Geometric Modeling
  • Digital Geometry Processing

Background:

  • Editing high-resolution 3D meshes from real-world scans presents challenges in speed, robustness, and intuitive control.
  • Interactive applications require deformation techniques that yield physically plausible and aesthetically pleasing results while preserving geometric details.

Purpose of the Study:

  • To systematically review and classify recent advances in linear variational mesh deformation techniques.
  • To provide a comparative description of different methods, highlighting their strengths and weaknesses in common editing scenarios.

Main Methods:

  • The survey focuses on methods that formulate surface deformation as a global variational optimization problem.
  • Techniques reviewed involve linearizing objective functionals to solve sparse linear systems for efficiency and robustness.

Related Experiment Videos

  • Emphasis is placed on deformation energies, detail preservation, and methods for rectifying linearization artifacts.

    • Main Results:

    • Linear variational methods offer a framework for efficient and robust mesh deformation.
    • Various approaches exist for preserving geometric details and mitigating linearization artifacts.
    • The choice of technique impacts the speed, robustness, and quality of the resulting deformations.

    Conclusions:

    • Linear variational mesh deformation techniques have advanced significantly for detailed 3D model editing.
    • Understanding the trade-offs between different methods is crucial for selecting appropriate tools for interactive applications.
    • Future work may focus on further improving detail preservation and user control in mesh deformation.