Presentation | 2010-10-08 A study on estimating ratio of window area in building wall from streetscape images Satoshi UENO, Ryoichi KAWADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a method to estimate the ratio of window area in building wall from streetscape images on the web. In order to figure out the areas of mobile communications in advance, it is necessary to apply radio wave propagation simulation which requires 3D map data. However, it is generally very expensive to make the precise map data by field research. On the other hand, in recent years, streetscape images are published on the web. It is desirable to obtain accurate map data by analyzing these streetscape images. Among 3D map data, it is important to estimate the ratio of window area in building wall. This estimation poses a technical challenge because of the wide-baseline images and window reflection. This paper proposes a novel approach which combines two methods to deal with the window refection; a method of merging multi-view streetscape images and a method of detecting the window areas on the upper building areas. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Specific object recognition / streetscape images / window detection |
Paper # | PRMU2010-93,SP2010-49,WIT2010-37 |
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Committee | WIT |
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Conference Date | 2010/10/1(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Well-being Information Technology(WIT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A study on estimating ratio of window area in building wall from streetscape images |
Sub Title (in English) | |
Keyword(1) | Specific object recognition |
Keyword(2) | streetscape images |
Keyword(3) | window detection |
1st Author's Name | Satoshi UENO |
1st Author's Affiliation | KDDI R & D Laboratories Inc.() |
2nd Author's Name | Ryoichi KAWADA |
2nd Author's Affiliation | KDDI R & D Laboratories Inc. |
Date | 2010-10-08 |
Paper # | PRMU2010-93,SP2010-49,WIT2010-37 |
Volume (vol) | vol.110 |
Number (no) | 221 |
Page | pp.pp.- |
#Pages | 6 |
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