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Iterative error bound minimisation for AAM alignment

Saragih, Jason; Goecke, Roland


The Active Appearance Model (AAM) is a powerful generative method used for modelling and segmenting deformable visual objects. Linear iterative methods have proven to be an efficient alignment method for the AAM when initialisation is close to the optimum. However, current methods are plagued with the requirement to adapt these linear update models to the problem at hand when the class of visual object being modelled exhibits large variations in shape and texture. In this paper, we present a...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Conference paper
Source: Proceedings of the 18th International Conference on Pattern Recognition
DOI: 10.1109/ICPR.2006.730


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