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このページ(論文)をリンクする場合は次のURLを使用してください: http://hdl.handle.net/2261/6875

タイトル: The Transformation of Range Data Based on the Combined Application of Image Segmentation and NURBS Surface
その他のタイトル: イメージ分割とNURBS曲面の結合応用によりレンジデータの変更
著者: Guo, Qing Dong
Yanagida, Yasuyuki
Kawakami, Naoki
Maeda, Taro
Tachi, Susumu
著者(別言語): 董, 国卿
柳田, 康幸
川上, 直樹
前田, 太郎
舘, 暲
キーワード: niesh
image segmentation
laser range finder
3D shape recovery
texture mapping
発行日: 2000年12月
出版者: 日本バーチャルリアリティ学会
掲載誌情報: 日本バーチャルリアリティ学会論文誌. vol. 5, no. 4, 2000.12, pp. 1079-1086
抄録: A real object is often described by its geometric surface and color image. The surface properties and color features sometimes correspond with each other. This paper introduces a new method for the redesigning of 3D model based on the combinedapplication of image processing and computer graphics. In particular, we focus on the 2D planar images and 3D range data of a real object, which are produced by a laser range finder and determined in an identical coordinates system. Such a method allows us to create a variety of complex models from an original model. Image processing is used to specify the features of a real object according to its RGB values so as to avoid the inconvenience of analyzing surface properties. We first detect the feature region through image processing, for example, color thresholding, edge detection, and labeling. Then, we displace the original range data within the detected region with nonuniform rational B-spline (NURBS) surface data. Finally, we reconstruct the new range data set wlth a smooth subdivision surface and map it with an original image. From just one real object, this method can provide a number of transformed models.
URI: http://hdl.handle.net/2261/6875
出現カテゴリ:1132810 学術雑誌論文
015 技術・工学


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