講演名 | 2020-02-28 Compact model mapping based on precise sparse point cloud matching HungYa Tsai(早大), Yuya Ieiri(早大), Reiko Hishiyama(早大), |
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抄録(和) | Augmented Reality (AR) has gained a lot of attention in recent years due to its limitless imagination. Modelmapping is one of the most important factors that make the AR more realistic and immersive. Previous works require tons of images to reconstruct the dense 3D point cloud for further matching, however, it takes lots of time and cost. In this work, we present a sparse point cloud generating algorithm, which assigns a weight to each captured point cloud based on its distinctiveness and distribution. We retain the most distinctive points for further matching, projecting and mapping the virtual model onto the physical one. Experiments show that this approach can save a considerable amount of time while maintaining similar matching and mapping accuracy |
抄録(英) | Augmented Reality (AR) has gained a lot of attention in recent years due to its limitless imagination. Modelmapping is one of the most important factors that make the AR more realistic and immersive. Previous works require tons of images to reconstruct the dense 3D point cloud for further matching, however, it takes lots of time and cost. In this work, we present a sparse point cloud generating algorithm, which assigns a weight to each captured point cloud based on its distinctiveness and distribution. We retain the most distinctive points for further matching, projecting and mapping the virtual model onto the physical one. Experiments show that this approach can save a considerable amount of time while maintaining similar matching and mapping accuracy |
キーワード(和) | Augmented Reality / Model Mapping / Point Cloud / Photogrammetry |
キーワード(英) | Augmented Reality / Model Mapping / Point Cloud / Photogrammetry |
資料番号 | ITS2019-56,IE2019-94 |
発行日 | 2020-02-20 (ITS, IE) |
研究会情報 | |
研究会 | ITE-HI / IE / ITS / ITE-MMS / ITE-ME / ITE-AIT |
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開催期間 | 2020/2/27(から2日開催) |
開催地(和) | 北海道大学 |
開催地(英) | Hokkaido Univ. |
テーマ(和) | 画像処理および一般 |
テーマ(英) | Image Processing, etc. |
委員長氏名(和) | 永井 岳大(東工大) / / / 石井 紀彦(NHK) / 田川 憲男(首都大) / 向井 信彦(東京都市大) |
委員長氏名(英) | Takehiro Nagai(Tokyo Inst. of Tech.) / / / Norihiko Ishii(NHK) / Norio Tagawa(Tokyo Metropolitan Univ.) / Nobuhiko Mukai(Tokyo Cisy Univ.) |
副委員長氏名(和) | / / / / 新井 啓之(日本工業大) / 名手 久貴(東京工芸大) |
副委員長氏名(英) | / / / / Hiroyuki Arai(Nippon Institute of Technology) / Hisaki Nate(Tokyo Polytechnic Univ.) |
幹事氏名(和) | 磯貝 愛(NTT) / / / 文仙 正俊(福岡大) / 船橋 信彦(NHK) / 望月 貴裕(NHK) / 小川 貴弘(北海道大) / 城 堅誠(ソニーセミコンダクタソリューションズ) |
幹事氏名(英) | Megumi Isogai(NTT) / / / Masatoshi Bunsen(Fukuoka Univ.) / Nobuhiko Funabashi(NHK) / Takahiro Mochizuki(NHK) / Takahiro Ogawa(Hokkaido Univ.) / Kensei Jo(Sony Semiconductor Solutions) |
幹事補佐氏名(和) | |
幹事補佐氏名(英) |
講演論文情報詳細 | |
申込み研究会 | Technical Group on Human Inormation / Technical Committee on Image Engineering / Technical Committee on Intelligent Transport Systems Technology / Technical Group on Multi-media Storage / Technical Group on Media Engineering / Technical Group on Artistic Image Technology |
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本文の言語 | ENG |
タイトル(和) | |
サブタイトル(和) | |
タイトル(英) | Compact model mapping based on precise sparse point cloud matching |
サブタイトル(和) | |
キーワード(1)(和/英) | Augmented Reality / Augmented Reality |
キーワード(2)(和/英) | Model Mapping / Model Mapping |
キーワード(3)(和/英) | Point Cloud / Point Cloud |
キーワード(4)(和/英) | Photogrammetry / Photogrammetry |
第 1 著者 氏名(和/英) | HungYa Tsai / HungYa Tsai |
第 1 著者 所属(和/英) | Waseda University(略称:早大) Waseda University(略称:Waseda University) |
第 2 著者 氏名(和/英) | Yuya Ieiri / Yuya Ieiri |
第 2 著者 所属(和/英) | Waseda University(略称:早大) Waseda University(略称:Waseda University) |
第 3 著者 氏名(和/英) | Reiko Hishiyama / Reiko Hishiyama |
第 3 著者 所属(和/英) | Waseda University(略称:早大) Waseda University(略称:Waseda University) |
発表年月日 | 2020-02-28 |
資料番号 | ITS2019-56,IE2019-94 |
巻番号(vol) | vol.119 |
号番号(no) | ITS-421,IE-422 |
ページ範囲 | pp.333-338(ITS), pp.333-338(IE), |
ページ数 | 6 |
発行日 | 2020-02-20 (ITS, IE) |