尾上研究室 研究業績一覧: K. Hirosue, S. Ukawa, Y. Itoh, T. Onoye, and M. Hashimoto, Gpgpu-Based Highly Parallelized 3d Node Localization for Real-Time 3d Model Reproduction, March 2017.
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K. Hirosue, S. Ukawa, Y. Itoh, T. Onoye, and M. Hashimoto, "Gpgpu-Based Highly Parallelized 3d Node Localization for Real-Time 3d Model Reproduction," In Proceedings of the 22nd International Conference on Intelligent User Interfaces 2017 (IUI '17), pp. 173-178, March 2017.
ID 855
分類 国際会議
タグ
表題 (title) Gpgpu-Based Highly Parallelized 3d Node Localization for Real-Time 3d Model Reproduction
表題 (英文)
著者名 (author) Kazuki Hirosue,Shohei Ukawa,Yuichi Itoh,Takao Onoye,Masanori Hashimoto
英文著者名 (author)
編者名 (editor)
編者名 (英文)
キー (key) Kazuki Hirosue, Shohei Ukawa, Yuichi Itoh, Takao Onoye, Masanori Hashimoto
書籍・会議録表題 (booktitle) Proceedings of the 22nd International Conference on Intelligent User Interfaces 2017 (IUI '17)
書籍・会議録表題(英文)
巻数 (volume)
号数 (number)
ページ範囲 (pages) 173-178
組織名 (organization)
出版元 (publisher)
出版元 (英文)
出版社住所 (address)
刊行月 (month) 3
出版年 (year) 2017
採択率 (acceptance)
URL
付加情報 (note)
注釈 (annote)
内容梗概 (abstract) This paper proposes a highly parallelized 3D node localization method based on cross-entropy method for the 3D modeling system. Cross-entropy localization statistically estimates node positions from node-to-node distance information by sampling, and each sample evaluation and internal computation of objective function can be processed in parallel. Experimental results show our GPGPU-based implementation achieved 5,163x and 61.5x speed up compared to a single processor and 80-processor implementations. In addition, for enhancing model reproduction accuracy, this work introduces a penalty function to mitigate flip ambiguity.
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BiBTeXエントリ
@inproceedings{id855,
         title = {GPGPU-based Highly Parallelized 3D Node Localization for Real-Time 3D Model Reproduction},
        author = {Kazuki Hirosue and Shohei Ukawa and Yuichi Itoh and Takao Onoye and Masanori Hashimoto},
     booktitle = {Proceedings of the 22nd International Conference on Intelligent User Interfaces 2017 (IUI '17)},
         pages = {173-178},
         month = {3},
          year = {2017},
}
  

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