Facial features matching using a virtual structuring element

Roberto Valenti; Nicu Sebe; Theo Gevers

doi:10.1117/12.761975

28 January 2008 Facial features matching using a virtual structuring element

Roberto Valenti, Nicu Sebe, Theo Gevers

Proceedings Volume 6820, Multimedia Content Access: Algorithms and Systems II; 682008 (2008) https://doi.org/10.1117/12.761975
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

Face analysis in a real-world environment is a complex task as it should deal with challenging problems such as pose variations, illumination changes and complex backgrounds. The use of active appearance models for facial features detection is often successful in restricted environments, but the performance decreases when applied in unconstrained environments. Therefore, in this paper, we introduce a novel method that integrates the knowledge of a face detector inside the shape and the appearance models by using what we call a 'virtual structuring element' (VSE). In this way the possible settings of the active appearance models are constrained in an appearance-driven manner. The use of a virtual structuring element in an active appearance model provides increased performance in both accuracy and robustness over standard active appearance models applied to different environments.

Citation Download Citation

Roberto Valenti, Nicu Sebe, and Theo Gevers "Facial features matching using a virtual structuring element", Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 682008 (28 January 2008); https://doi.org/10.1117/12.761975

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