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- W1993001081 abstract "Facial pose synthesis has many useful applications in practice. How to synthesize facial pose images robustly and simply is still a challenging problem. In this paper we proposed a tensor-based subspace learning method (TSL) that makes possible the synthesis of human multi-pose facial images from a single 2D image. We organize 2D multi-pose images in a tensor form and apply tensor decomposition to build a projection subspace. An input 2D image is projected into the projection subspace to get a corresponding identity vector. The identity vector is used to generate the novel pose images. The experiments are performed on MaVIC (KAO-Ritsumeikan Multi-angle View, Illumination and Cosmetic Facial Database) and preliminary experimental results show the effectiveness of our proposed method." @default.
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- W1993001081 date "2009-09-01" @default.
- W1993001081 modified "2023-09-27" @default.
- W1993001081 title "Synthesis of multiple pose facial images using tensor-based subspace learning method" @default.
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- W1993001081 doi "https://doi.org/10.1109/iccvw.2009.5457697" @default.
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