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Performance of active appearance model-based pose-robust face recognition

Performance of active appearance model-based pose-robust face recognition

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In this study, the authors study the performance of a novel active appearance model (AAM)-based fully automatic system for pose robust face recognition that allows faster fitting to a no frontal view and generation of virtual views. The system follows a multiresolution scheme, where the first level is used to initialise a generic AAM, pose angle is automatically estimated using eigenvector analysis, and then a pose-dependent AAM model is selected. Next level refines AAM model fitting and registration. Finally, a virtual frontal view is created before face matching. Recognition results over CMU PIE database show similar values compared with the performance achieved with manually landmarked faces. Compared with a classical view-based approach, this multiresolution scheme performs similarly but is sensibly faster.

Inspec keywords: pose estimation; face recognition

Other keywords: active appearance model based fully automatic system; pose-dependent AAM model; AAM model fitting; classical view-based approach; virtual frontal view; pose angle estimation; pose robust face recognition; AAM model registration; CMU PIE database; eigenvector analysis; pose-robust face recognition; multiresolution scheme

Subjects: Computer vision and image processing techniques; Image recognition

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