ACM Home Page
Please provide us with feedback. Feedback
Generating 3D views of facial expressions from frontal face video based on topographic analysis
Full text PdfPdf (602 KB)
Source International Multimedia Conference archive
Proceedings of the 12th annual ACM international conference on Multimedia table of contents
New York, NY, USA
POSTER SESSION: Technical poster session 1: multimedia analysis, processing, and retrieval table of contents
Pages: 360 - 363  
Year of Publication: 2004
ISBN:1-58113-893-8
Authors
Lijun Yin  State University of New York at Binghamton, Binghamton, NY
Kenny Weiss  State University of New York at Binghamton, Binghamton, NY
Sponsors
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 41,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1027527.1027611
What is a DOI?

ABSTRACT

In this paper, we report our newly developed 3D face modeling system with arbitrary expressions in a high level of detail using the topographic analysis and mesh instantiation process. Given a sequence of images of facial expressions at frontal views, we automatically generate 3D expressions at arbitrary views. Our face modeling system consists of two major components: facial surface representation using topographic analysis and generic model individualization based on labeled surface features and surface curvatures. The realism of the generated individual model is demonstrated through 3D views of facial expressions in videos. This work targets the accurate modeling of face and face expression for human computer interaction and 3D face recognition.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
T. F. Cootes and C. Taylor. Statistical models of appearance for computer vision. In Technical Report, University of Manchester, Manchester, UK, 2001.
 
3
L. Zalewski, et al. Synthesis and recognition of facial expressions in virtual 3d views. IEEE 6th Inter. Conf. on Automatic Face and Gesture Recognition, 2004.
 
4
R. Haralick and et al. The topographic primal sketch. The Int. J of Robotics Research, 2(2):50--72, 1983.
5
 
6
 
7
 
8