Image Parsing by Fuzzy Inference using Multi-Resolusion Representation of Streetscape Image
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- Kimura Yusuke
- Kyushu Institute of Technology
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- Inoue Toshikazu
- 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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- 市街地画像の多重解像度表現を用いたファジィ推論による領域認識
Abstract
Recently, the use of three dimension map is increasing due to spreads of the car navigation system and the streetscape simulation, etc. A lot of processes of the hand work, however, are included in making such 3D map under the present situation, and it is a current state to require a large labor. Therefore, these processes are automated, and the system for making the 3D map efficiently is expected. In this study, we propose a method for parsing the streetscape image as a preprocessing to make the 3D map by stereo method. In this report, a hierarchical method that uses an image pyramid and a fuzzy inference is proposed and is applied to the streetscape image. As a result of experiment, we confirmed the effectiveness of the proposed method as compared with an ordinal method.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 23 (0), 439-439, 2007
Japan Society for Fuzzy Theory and Intelligent Informatics
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Keywords
Details 詳細情報について
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- CRID
- 1390282680643646080
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- NII Article ID
- 130004730270
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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