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Green Image
Issue No. 11 - November (2006 vol. 28)
ISSN: 0162-8828
pp: 1847-1857
C. Butakoff , Computational Imaging Lab, Department of Technology, University Pompeu Fabra, Barcelona, Spain
A.F. Frangi , Computational Imaging Lab, Department of Technology, University Pompeu Fabra, Barcelona, Spain
ABSTRACT
This paper presents a framework for weighted fusion of several active shape and active appearance models. The approach is based on the eigenspace fusion method proposed by Hall et al., which has been extended to fuse more than two weighted eigenspaces using unbiased mean and covariance matrix estimates. To evaluate the performance of fusion, a comparative assessment on segmentation precision as well as facial verification tests are performed using the AR, EQUINOX, and XM2VTS databases. Based on the results, it is concluded that the fusion is useful when the model needs to be updated online or when the original observations are absent
INDEX TERMS
Active appearance model, Active shape model, Covariance matrix, Databases, Image analysis, Jacobian matrices, Context modeling, Shape control, Fuses, Testing
CITATION

C. Butakoff and A. Frangi, "A Framework for Weighted Fusion of Multiple Statistical Models of Shape and Appearance," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 28, no. 11, pp. 1847-1857, 2009.
doi:10.1109/TPAMI.2006.215
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