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• W2101812986 abstract "The Active Appearance Model (AAM) is a powerful generative method for modeling and registering deformable visual objects. Most methods for AAM fitting utilize a linear parameter update model in an iterative framework. Despite its popularity, the scope of this approach is severely restricted, both in fitting accuracy and capture range, due to the simplicity of the linear update models used. In this paper, we present an new AAM fitting formulation, which utilizes a nonlinear update model. To motivate our approach, we compare its performance against two popular fitting methods on two publicly available face databases, in which this formulation boasts significant performance improvements." @default.
• W2101812986 created "2016-06-24" @default.
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• W2101812986 date "2007-01-01" @default.
• W2101812986 modified "2023-09-25" @default.
• W2101812986 title "A Nonlinear Discriminative Approach to AAM Fitting" @default.
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• W2101812986 doi "https://doi.org/10.1109/iccv.2007.4409106" @default.
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