Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Michikawa, Takashi"'
Publikováno v:
International Journal of Automation Technology; Sep2024, Vol. 18 Issue 5, p632-650, 19p
Publikováno v:
In Automation in Construction February 2018 86:99-117
Publikováno v:
In Advanced Engineering Informatics April 2017 32:248-262
Autor:
Michikawa, Takashi, Suzuki, Hiromasa
Publikováno v:
In Computer-Aided Design April 2013 45(4):822-828
Autor:
Michikawa, Takashi, Suzuki, Hiromasa
Publikováno v:
In Graphical Models 2010 72(4):35-45
Autor:
Michikawa, Takashi1 michikawa@acm.org, Suzuki, Hiromasa2, Moriguchi, Masaki3, Ogihara, Naomichi4, Kondo, Osamu5, Kobayashi, Yasushi6
Publikováno v:
PLoS ONE. 4/13/2017, Vol. 12 Issue 4, p1-14. 14p.
Publikováno v:
Computer-Aided Design & Applications. Dec2016, Vol. 13 Issue 6, p786-791. 6p.
This paper proposes a simple and efficient method for segmenting multi-material volumes. Unlike standard image segmentation techniques, this approach aims to extract accurate isosurfaces representing the boundary surfaces between different materials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______8936::3d1ae8d0ccc66eba18ab0efe8b31bd9d
http://hdl.handle.net/11025/10811
http://hdl.handle.net/11025/10811
Autor:
Geng, Chun, Suzuki, Hiromasa, Yan, Dong-Ming, Michikawa, Takashi, Sato, Yuichi, Hashima, Masayoshi, Ohta, Eiji
Publikováno v:
EG UK Theory and Practice of Computer Graphics
EG UK Theory and Practice of Computer Graphics, University of Sheffield, Sep 2010, Sheffield, United Kingdom. pp.45-50, ⟨10.2312/LocalChapterEvents/TPCG/TPCG10/045-050⟩
EG UK Theory and Practice of Computer Graphics, University of Sheffield, Sep 2010, Sheffield, United Kingdom. pp.45-50, ⟨10.2312/LocalChapterEvents/TPCG/TPCG10/045-050⟩
International audience; Extracting structural information from mesh models is crucial for Simulation Driven Design (SDD) in industrial applications. Focusing on thin-plate CAD mesh models (the most commonly used parts in electronic products such as P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::aecae0146bf3cd7c6fee650a3bdfb8d0
https://hal.inria.fr/inria-00547799/document
https://hal.inria.fr/inria-00547799/document
Here we propose a method for medial voxel extraction from large volumetric models based on an out-of-core framework. The method improves upon geodesic-based approaches to enable the handling of large objects. First, distance fields are constructed fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______8936::6d0f726d242d4b2eaa27e1f98f06992e
http://hdl.handle.net/11025/10909
http://hdl.handle.net/11025/10909