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• W1497119545 abstract "This paper investigates head pose estimation problem which is considered as front-end preprocessing for improving multi-view human face recognition. We propose a computational model for perceiving head poses based on the Non-negative Multi-way Factorization (NMWF). The model consists of three components: the tensor representation for multi-view faces, feature selection and head pose perception. To find the facial representation basis, the NMWF algorithm is applied to the training data of facial images. The face tensor includes three factors of facial images, poses, and people. The former two factors are used to construct the computational model for pose estimation. The discriminative measure for perceiving the head pose is defined by the similarity between tensor basis and the representation of testing facial image which is projection of faces on the subspace spanned by the basis “TensorFaces”. Computer simulation results show that the proposed model achieved satisfactory accuracy for estimating head poses of facial images in the CAS-PEAL face database." @default.
• W1497119545 created "2016-06-24" @default.
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• W1497119545 date "2008-07-31" @default.
• W1497119545 modified "2023-09-25" @default.
• W1497119545 title "Head Pose Estimation Based on Tensor Factorization" @default.
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• W1497119545 doi "https://doi.org/10.1007/978-3-540-69158-7_86" @default.
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