Extraction of Building Areas from Streetscape Image for Constructing 3D Rough Map
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- Kimura Yusuke
- Kyushu Institute of Technology
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- Kawano Hideaki
- Kyushu Institute of Technology
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- Maeda Hiroshi
- Kyushu Institute of Technology
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- Ikoma Norikazu
- Kyushu Institute of Technology
Bibliographic Information
- Other Title
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- 3D概略地図作成のための市街地画像からの建造物領域の抽出
Description
A goal of this study is to construct 3D rough map form streetscape images automatically. For the sake of buildings reconstruction, buildings areas in streetscape are extracted. Typically, streetscape images contain the sky, road, street trees, buildings and so on. These regions other than buildings cause some errors in the following stereo matching process. Thus, a preprocessing to eliminate the areas other than buildings is required. The preprocessing is achieved by the newly proposed segmentation algorithm which integrates clustering with color information and wavelet analysis. The effectiveness of the proposed method was verified by experiments using actual streetscape images.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 22 (0), 98-98, 2006
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205667366400
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- NII Article ID
- 130004591451
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed