Multiresolution Model Construction from Scattered Range Data by Hierarchical Cube-Based Segmentation

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概要

• 論文の詳細を見る

• High-speed display of 3-D objects in virtual reality environments is one of the currently important subjects. Shape simplification is considered an efficient method. This paper presents a method of hierarchical cube-based segmentation for shape simplification and multiresolution model construction. The relations among shape simplification, resolution and visual distance are derived firstly. The first level model is generated from scattered range data by cube-base segmentation with the first level cube size. Multiresolution models are then generated by re-sampling polygonal patch vertices of each former level model with hierarchical cube-based segmentation structure. The results show that the algorithm is efficient for constructing multiresolution models of free-form shape 3-D objects from scattered range data and high compression ratio can be obtained with little noticeable difference during the visualization.

• 1997-08-25

著者

• Kawarada Hiroshi

  School Of Science & Engineering Waseda University

• Sato M

  Tokyo Inst. Technol. Yokohama Jpn

• KAWARADA Hiroshi

  Faculty of Engineering, Osaka,University

• Kawarada H

  School Of Science And Engineering Waseda University

• Sato M

  Tokyo Inst. Of Technol. Yokohama‐shi Jpn

• Wang Shengjin

  Faculty Of Precision And Intelligence Laboratory Tokyo Institute Of Technology:(present Address)huma

• SATO Makoto

  Faculty of Precision and Intelligence Laboratory, Tokyo Institute of Technology

• Wang Shengjin

  Precision And Intelligence Laboratory Tokyo Institute Of Technology

• Kawarada Hiroshi

  Nanotechnology Research Center Waseda University

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