| Presentation | 2017-03-13 A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis Aiga Suzuki, Hayaru Shouno, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Modeling of natural textures in an important task for microscopic structure of natural images. Portilla and Simon-celli proposed a generative texture model, which is based on the mechanism of human visual systems, with a set of texturefeatures. On the other hand, the texture features, used in Portilla’s model, have redundancy between its components, came from typical natural textures. We propose a contracted texture model which provides a dimensionality reduction for the Portilla’s feature. This model is based on a hierarchical principal components analysis using group structure of the feature. In the experiment, we reveal a fewer effective dimensions for a texture dataset with proposed method. And we also demonstrate how well the textures can be synthesized from the reduced texture representations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | texture modeling / texture synthesis / dimensionality reduction / probabilistic principal component analysis |
| Paper # | NC2016-83 |
| Date of Issue | 2017-03-06 (NC) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2017/3/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yutaka Fukuoka(Kogakuin Univ.) / Shigeo Sato(Tohoku Univ.) |
| Vice Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) |
| Secretary | Kazuki Nakajima(Kogakuin Univ.) / Masafumi Hagiwara(Toyama Pref. Univ.) |
| Assistant | Ryota Horie(Shibaura Inst. of Tech.) / Kim Juhyon(Univ. of Toyama) / Hisanao Akima(Tohoku Univ.) / Yoshihisa Shinozawa(Keio Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis |
| Sub Title (in English) | |
| Keyword(1) | texture modeling |
| Keyword(2) | texture synthesis |
| Keyword(3) | dimensionality reduction |
| Keyword(4) | probabilistic principal component analysis |
| 1st Author's Name | Aiga Suzuki |
| 1st Author's Affiliation | University of Electro-Communication(UEC) |
| 2nd Author's Name | Hayaru Shouno |
| 2nd Author's Affiliation | University of Electro-Communication(UEC) |
| Date | 2017-03-13 |
| Paper # | NC2016-83 |
| Volume (vol) | vol.116 |
| Number (no) | NC-521 |
| Page | pp.pp.115-120(NC), |
| #Pages | 6 |
| Date of Issue | 2017-03-06 (NC) |