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

Muscles for Facial Expressions01:14

Muscles for Facial Expressions

The craniofacial muscles are a collection of approximately 20 thin skeletal muscles situated beneath the skin of the face and scalp. These muscles, primarily responsible for the vast array of human facial expressions, originate from the bones or fibrous structures of the skull and extend outwards to connect with the skin. While most skeletal muscles in the body are enveloped in thick fascia, facial muscles generally have a more delicate fascial covering, with the buccinator muscle being a...
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
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...
Orthogonal Trajectories01:26

Orthogonal Trajectories

Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role of...

You might also read

Related Articles

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

Sort by
Same author

Duchenne muscular dystrophy in a female patient with a karyotype of 46,X,i(X)(q10).

The Tohoku journal of experimental medicine·2010
Same author

Toward ultimate miniaturization of high Q silicon traveling-wave microresonators.

Optics express·2010
Same author

Mathematical modeling of degradation for bulk-erosive polymers: applications in tissue engineering scaffolds and drug delivery systems.

Acta biomaterialia·2010
Same author

[Effect of electroacupuncture on lipid metabolism in metabolic syndrome].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion·2010
Same author

STK39 is an independent risk factor for male hypertension in Han Chinese.

International journal of cardiology·2010
Same author

Molecular analysis, developmental function and heavy metal-induced expression of ABCC5 in zebrafish.

Comparative biochemistry and physiology. Part B, Biochemistry & molecular biology·2010
Same journal

Disseminating Geometric Figures for Architecture Education and Research Through a Direct Data Stream Between CAD Software and a Web Viewer.

IEEE computer graphics and applications·2026
Same journal

Designing scFlowVis: Visual Analytics for Single-Cell RNA Sequencing Analysis.

IEEE computer graphics and applications·2026
Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026
Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026
Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026
Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026
See all related articles

Related Experiment Video

Updated: Jun 28, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Orthogonal-blendshape-based editing system for facial motion capture data.

Qing Li1, Zhigang Deng

  • 1Department of Computer Science, University of Houston, Houston, TX, USA. qingli12@cs.uh.edu

IEEE Computer Graphics and Applications
|November 14, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a new system for editing 3D facial motion capture data by creating an automated blendshape face model. This approach transforms facial motion editing into blendshape animation editing for animators.

More Related Videos

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Related Experiment Videos

Last Updated: Jun 28, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Area of Science:

  • Computer Graphics
  • Animation
  • Machine Learning

Background:

  • Facial motion capture (FMC) and blendshape modeling are popular techniques in 3D animation.
  • A gap exists in seamlessly editing FMC data using blendshape models.
  • Existing methods may lack flexibility or automation in editing FMC data.

Purpose of the Study:

  • To develop a novel data-driven system for editing 3D facial motion capture data.
  • To bridge the gap between FMC techniques and the blendshape approach.
  • To provide animators with a tool that balances automation and control.

Main Methods:

  • Automated construction of an orthogonal blendshape face model.
  • Utilizing truncated Principal Component Analysis (PCA) space.
  • Implementing constrained weight propagation for editing blendshape weights (PCA coefficients).

Main Results:

  • The 3D facial motion capture editing problem is transformed into a blendshape animation editing problem.
  • Modifying blendshape weights is equivalent to editing the corresponding motion capture sequences.
  • The system allows for automated construction and flexible editing of facial motion data.

Conclusions:

  • The proposed system offers an effective method for editing 3D facial motion capture data.
  • It successfully integrates FMC with blendshape modeling through PCA and weight propagation.
  • Animators gain enhanced control and automation in facial animation editing.