A Visual Marker based Image Annotation Tool with Projective Transformation

Haitian Sun, Mengbo You, Chao Zhang, Takuya Akashi

研究成果: 書籍の章/レポート/会議録会議への寄与査読

抄録

Although template matching has been studied for decades, difficult problems still exist, such as template matching with projective transformation. Projective template matching is challenging not only because of its own hardness, but also owing to the high cost in creating ground truths. Focusing on the problem in creating ground truths, in this paper, we propose a novel method to automatically create ground truth by augmented reality (AR) technology. Specifically, when creating dataset, around each target image we attach AR markers. Then we shoot videos containing target image with the markers from different angles and backgrounds. Finally we locate the target images by detecting the markers. We evaluate our method by deviation, intersection over union (IoU), and necessary correction rate, indicating that our method is available.

本文言語英語
ホスト出版物のタイトルProceedings - 2018 12th France-Japan and 10th Europe-Asia Congress on Mechatronics, Mecatronics 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ61-66
ページ数6
ISBN(電子版)9781538629826
DOI
出版ステータス出版済み - 2018/10/17
イベント12th France-Japan and 10th Europe-Asia Congress on Mechatronics, Mecatronics 2018 - Tsu, 日本
継続期間: 2018/09/102018/09/12

出版物シリーズ

名前Proceedings - 2018 12th France-Japan and 10th Europe-Asia Congress on Mechatronics, Mecatronics 2018

学会

学会12th France-Japan and 10th Europe-Asia Congress on Mechatronics, Mecatronics 2018
国/地域日本
CityTsu
Period2018/09/102018/09/12

ASJC Scopus 主題領域

  • 人間とコンピュータの相互作用
  • 信号処理
  • 機械工学
  • 人工知能
  • モデリングとシミュレーション
  • 整形外科およびスポーツ医学
  • 制御と最適化
  • リハビリテーション

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