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Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition

Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition

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 Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition

 To perform unconstrained face recognition robust to variations in illumination, pose and expression, this paper presents a new scheme to extract “Multi-Directional Multi-Level Dual-Cross Patterns” (MDML-DCPs) from face images. Specifically, the MDML-DCPs scheme exploits the first derivative of Gaussian operator to reduce the impact of differences in illumination and then computes the DCP feature at both the holistic and component levels. DCP is a novel face image descriptor inspired by the unique textural structure of human faces. It is computationally efficient and only doubles the cost of computing local binary patterns, yet is extremely robust to pose and expression variations.


 


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  • Model: PROJ7230
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Saturday 17 June, 2017.

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