Furniture layout AR application using floor plans based on planar object tracking

Taiki Fuji, Yasue Mitsukura, Toshio Moriya

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

In this paper, we propose a new approach of Augmented Reality (AR) system for the furniture layout based on a planar object tracking. The planar object tracking methods using natural features are effective methods to estimate the object's pose and position in the AR applications because we are able to use the natural images. However, most of the feature descriptors have a lot of matching procedure. Therefore, by using an efficient feature point descriptor which is very fast both to build and to match, we track the planar objects. Especially, we use floor plans as the planar objects, and then furniture CG models are overlaid on the floor plans. This is because the floor plans are presented in the selection of rooms for rent or buy. Therefore, this system helps borrowers and buyers to select some mansion or apartment rooms. In this system, we propose to use human whistle sounds and color rectangles recognition to operate the furniture layout. In order to show the effectiveness of our proposed system, we perform some planar object tracking experiments when we applied the proposed system to some floor plans.

元の言語English
ホスト出版物のタイトル2012 IEEE RO-MAN
ホスト出版物のサブタイトルThe 21st IEEE International Symposium on Robot and Human Interactive Communication
ページ670-675
ページ数6
DOI
出版物ステータスPublished - 2012 12 14
イベント2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 - Paris, France
継続期間: 2012 9 92012 9 13

出版物シリーズ

名前Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012
France
Paris
期間12/9/912/9/13

    フィンガープリント

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

これを引用

Fuji, T., Mitsukura, Y., & Moriya, T. (2012). Furniture layout AR application using floor plans based on planar object tracking. : 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication (pp. 670-675). [6343828] (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). https://doi.org/10.1109/ROMAN.2012.6343828