Presentation | 2015-03-03 A wrinkle detection and support system for ironing beginners Kimie SUZUKI, Kaori FUJINAMI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose methods of wrinkle detection and presentation of wrinkle position. We identified 15 effective features based on multi-resolution analysis, fractal analysis, cooccurrence matrix and run-length matrix. As a result, four states of clothes (wrinkle, plane, loose and tuck) were classified with a F-value of 0.94. Additionally, three types of wrinkle presentation methods were proposed, in which the method of presenting all wrinkles at a time was turned to be effective for users to plan the ironing strategies. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | ironing / support system / wrinkle detection / spatial augmented reality / image analysis |
Paper # | IMQ2014-30,IE2014-91,MVE2014-78 |
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Conference Information | |
Committee | MVE |
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Conference Date | 2015/2/24(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A wrinkle detection and support system for ironing beginners |
Sub Title (in English) | |
Keyword(1) | ironing |
Keyword(2) | support system |
Keyword(3) | wrinkle detection |
Keyword(4) | spatial augmented reality |
Keyword(5) | image analysis |
1st Author's Name | Kimie SUZUKI |
1st Author's Affiliation | Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology() |
2nd Author's Name | Kaori FUJINAMI |
2nd Author's Affiliation | Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology |
Date | 2015-03-03 |
Paper # | IMQ2014-30,IE2014-91,MVE2014-78 |
Volume (vol) | vol.114 |
Number (no) | 487 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |