Search

Navigator: RI | Publications | Automatic Construction of Active Appearance Models as an Image Coding Problem

Graphics enhanced version of this site

Automatic Construction of Active Appearance Models as an Image Coding Problem
S. Baker, I. Matthews, and J. Schneider
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 10, October, 2004, pp. 1380 - 1384.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference


Download [Help]

Adobe portable document format (pdf) [212 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


Abstract

The automatic construction of Active Appearance Models (AAMs) is usually posed as finding the location of the base mesh vertices in the input training images. In this paper, we re-pose the problem as an energy-minimizing image coding problem and propose an efficient gradient-descent algorithm to solve it.


Notes

Sponsor: US DOD
Grant ID: N41756-03-C4024

Associated center: VASC
Associated lab/group: Face Group
Associated projects: Face Model Building and Fitting and Automatic Construction of Active Appearance Models

Number of pages: 17


Text Reference

S. Baker, I. Matthews, and J. Schneider, "Automatic Construction of Active Appearance Models as an Image Coding Problem," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 10, October, 2004, pp. 1380 - 1384.


BibTeX Reference

@article{Baker_2004_4667,
   author = "Simon Baker and Iain Matthews and Jeff Schneider",
   title = "Automatic Construction of Active Appearance Models as an Image Coding Problem",
   journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
   month = "October",
   year = "2004",
   volume = "26",
   number = "10",
   pages = "1380 - 1384"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu