A hierarchical compositional model for face representation and sketching

IEEE Transactions on Pattern Analysis and Machine Intelligence
Zijian XuJiebo Luo

Abstract

We present a hierarchical-compositional face model as a three-layer And-Or graph to account for the structural variabilities over multiple resolutions. In the And-Or graph, an And-node represents a decomposition of certain graphical structure expanding to a set of Or-nodes with associated relations; an Or-node functions as a switch variable pointing to alternative And-nodes. Faces are represented hierarchically: layer one treats each face as a whole; layer two refines the local facial parts jointly as a set of individual templates; layer three divides face into 15 zones and models facial features like eyecorners or wrinkles. Transitions between layers are realized by measuring the minimum-description-length given the face image complexity. Diverse face representations are formed by drawing from hierarchical dictionaries of faces, parts and skin features. A sketch captures the most informative part of a face in a concise and potentially robust representation. However, generating good facial sketches is challenging because of the rich facial details and large structural variations, especially in the high-resolution images. The representing power of our generative model is demonstrated by reconstructing high-resolution face images...Continue Reading

References

Jun 26, 1998·Clinical and Experimental Allergy : Journal of the British Society for Allergy and Clinical Immunology·F D Martinez
Feb 13, 1999·Clinical and Experimental Allergy : Journal of the British Society for Allergy and Clinical Immunology·F D Martinez
Jan 1, 1991·Journal of Cognitive Neuroscience·M Turk, A Pentland
Feb 1, 2001·IEEE Transactions on Pattern Analysis and Machine Intelligence·Ying-Li TianJeffrey F Cohn

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Citations

Jan 16, 2010·IEEE Transactions on Pattern Analysis and Machine Intelligence·Jinli SuoXilin Chen
Jun 1, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Ching-Ting TuYi-Chung Chen
Nov 11, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Dongyu ZhangEbroul Izquierdo
Feb 7, 2017·IEEE Transactions on Cybernetics·Xiao ZengChun Qi

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