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Generic Active Appearance Models
Head: Simon Lucey
Contact: Simon Lucey (slucey+@andrew.cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: VASC
Associated lab/group: Face Group

Active Appearance Models (AAMs) have been used with great success for subject specific non-rigid face alignment/tracking. Unfortunately, AAMs suffer inherent drawbacks when being applied to faces that have not been seen previously. We refer to this as the "Generic AAM" problem.

At present we are pursuing techniques for non-rigid face alignment based on Constrained Local Models (CLMs) that exhibit superior generic performance over conventional AAMs. Specifically, we have been investigating two flavors of CLMs we refer to as Exhaustive Local Search (ELS) and Robust Convex Quadratic Fitting (RCQF).

Name - Title <Email Address>
• [Home] Simon Lucey - Systems Scientist <slucey+@andrew.cmu.edu>

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Enforcing Convexity for Improved Alignment with Constrained Local Models
  Y. Wang, S. Lucey, and J. Cohn
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2008. [Abstract]
  Download: pdf [652 KB] copyrighted

• Non-Rigid Object Alignment with a Mismatch Template Based on Exhaustive Local Search
  Y. Wang, S. Lucey, and J. Cohn
  IEEE Workshop on Non-rigid Registration and Tracking through Learning - NRTL 2007, October, 2007. [Abstract]
  Download: pdf [1845 KB], ps.gz [3043 KB] copyrighted