@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
@COMMENT This file came from Freek Stulp's publication pages at
@COMMENT http://www-clmc.usc.edu/~stulp/publications
@InProceedings{wimmer08face,
  title                    = {Face Model Fitting based on Machine Learning from Multi-band Images of Facial Components},
  author                   = {Matthias Wimmer and Christoph Mayer and Freek Stulp and Bernd Radig},
  booktitle                = {Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA), held in conjunction with CVPR},
  year                     = {2008},
  note                     = {Non-archival.},
  abstract                 = { Geometric models enable semantic information about real-world objects to be extracted from images. Model fitting algorithms need to find the best match between a parameterized model and a given image. This task inherently requires an objective function to estimate the error between a model parameterization and an image. The accuracy of this function directly influences the accuracy of the entire process of model fitting. Unfortunately, constructing these functions is a non-trivial task. Dedicated to the application of face model fitting, this paper proposes to consider a multi-band image representation that indicates the facial components, from which a large set of image features is computed. Since it is not possible to manually formulate an objective function that considers this large amount of features, we apply a Machine Learning framework to construct them. This automatic approach is capable of considering the large amount of features provided and yield highly accurate objective functions for face model fitting. Since the Machine Learning framework rejects non-relevant image features, we obtain high performance runtime characteristics as well. },
  bib2html_pubtype         = {Refereed Workshop Paper},
  bib2html_rescat          = {Learning Objective Functions for Face Model Fitting}
}