Cited by 137Face recognition and analysisSpeech and Audio ProcessingHuman Motion and Animation

Analyzing facial expressions for virtual conferencing

Eisert, P., Girod, B.·1998·IEEE Computer Graphics and Applications

Abstract

The authors present a model-based algorithm that estimates 3D motion and facial expressions from 2D image sequences showing head and shoulder scenes typical of video telephone and teleconferencing applications.

Integrity signals

Registry

Crossref · 10.1109/38.708562

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The appearance of upper face features plays a more important role in face interpretation than lower face features.

    “It is interesting to note that the appearance of the upper face features plays a more important role in face interpretation as opposed to lower face features [22].”
  • The human visual system assigns a higher priority to upper face features than to lower face features because they play a more important role in facial expression interpretation.

    “Another appealing but still not investigated property of the human visual system is assigning a higher ªpriorityº to the upper face features than to the lower face features since they play a more important role in facial expression interpretation [22].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Eisert, P., & Girod, B.
Affiliations
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Venue
IEEE Computer Graphics and Applications
Published
1998
Volume
18
Issue
5
Pages
70-78
ISSN
0272-1716 (ISSN-L)
OpenAlex
W2125675458
Cited by
137
References
14
Citations by year
2026: 1 · 2025: 1 · 2024: 1 · 2023: 2 · 2021: 2 · 2020: 1 · 2018: 2 · 2015: 8 · 2014: 4 · 2012: 1
FWCI
11.99
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Computer Graphics and Applications (publishedVersion)
  • Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
  • Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
  • Physical Sciences › Engineering › Control and Systems Engineering › Human Motion and Animation
Keywords
facial expression analysis, 3D motion estimation, model-based estimation, videoconferencing, videophone

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review