Facial pose image synthesis with a single image using tensor subspace approximation method (画像工学)
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概要
- 論文の詳細を見る
In this paper we proposed a new method called tensor subspace approximation (TSA) to do the facial pose image synthesis with a single image. We make use of the morphable model to all the image data previously in order to separate the image information into two parts: shape and texture. This method applies high-dimensional PCA method which deal with the objective data in the form of tensor to estimate the identify vectors of each samples among the varied images. MaVIC Database (KAO-Ritsumeikan Multi-angle View, Illumination and Cosmetic Facial Database) is used in our experiments and results are improved the accuracy of the method.
- 2009-05-21
著者
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Qiao Xu
College of Information and Science, Ristumeikan University
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Igarashi Takanori
Beauty Cosmetic Research Lab, Kao Corporation
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Nakao Keisuke
Beauty Cosmetic Research Lab, Kao Corporation
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Kashimoto Akio
Beauty Cosmetic Research Lab, Kao Corporation
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Chen Yen-Wei
College of Information and Science, Ristumeikan University
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Chen Yen
College Of Information Science And Engineering Ritsumeikan University
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Igarashi Takanori
Beauty Cosmetic Research Lab Kao Corporation
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Qiao Xu
College Of Information And Science Ristumeikan University
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Chen Y‐w
College Of Information Science And Engineering Ritsumeikan University
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Nakao Keisuke
Beauty Cosmetic Research Lab Kao Corporation
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Kashimoto Akio
Beauty Cosmetic Research Lab Kao Corporation
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Chen Yen-wei
College Of Information And Science Ristumeikan University
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Chen Yen-wei
College Of Information And Science Ritsumeikan University
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