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分類 国際会議
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
表題 (title) GPGPU-based Highly Parallelized 3D Node Localization for Real-Time 3D Model Reproduction
表題 (英文)
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) March
出版年 (year) 2017
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.
論文電子ファイル Not available.


[1-365]  Kazuki Hirosue, Shohei Ukawa, Yuichi Itoh, Takao Onoye, and Masanori 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.

@inproceedings{1_365,
    author = {Kazuki Hirosue and Shohei Ukawa and Yuichi Itoh and Takao Onoye
    and Masanori Hashimoto},
    author_e = {},
    editor = {},
    editor_e = {},
    title = {GPGPU-based Highly Parallelized 3D Node Localization for Real-Time
    3D Model Reproduction},
    title_e = {},
    booktitle = {Proceedings of the 22nd International Conference on Intelligent
    User Interfaces 2017 (IUI '17)},
    booktitle_e = {},
    volume = {},
    number = {},
    pages = {173-178},
    organization = {},
    publisher = {},
    publisher_e = {},
    address = {},
    month = {March},
    year = {2017},
    note = {},
    annote = {}
}

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