View alignment with dynamically updated affine tracking
Conference Paper, Proceedings of 3rd IEEE International Conference on Automatic Face and Gesture Recognition (FG '98), pp. 510 - 515, April, 1998
Abstract
The authors propose a framework for fast view alignment using adaptive affine tracking. They address the issue of modelling both shape and texture information in eigenspace for view alignment. They present an effective bootstrapping process based on colour segmentation and selective attention. They recover affine parameters with dynamic updates to the eigenspace using most recent history and perform predictions in parameter space. Experimental results are given to illustrate their approach.
BibTeX
@conference{De-1998-120967,author = {F. De la Torre and S. Gong and S. McKenna},
title = {View alignment with dynamically updated affine tracking},
booktitle = {Proceedings of 3rd IEEE International Conference on Automatic Face and Gesture Recognition (FG '98)},
year = {1998},
month = {April},
pages = {510 - 515},
}
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.