Recognition and pose estimation of primitive shapes from depth images for spatial augmented reality

Ryo Hachiuma, Hideo Saito

研究成果: Conference contribution

抜粋

In this paper, we propose a method for recognition and pose estimation of primitive shapes from depth images for spatial augmented reality (SAR). To use SAR in our everyday life, technology to recognize and estimate the pose of projected objects in the room is necessary. However, it is not a simple task to recognize primitive shapes because of their low 3D feature values. Hence, we focused on the gradient of normal vector map to extract surfaces and used the information of the surfaces of each object to recognize target objects. With our method, it becomes possible to recognize and estimate the pose of target objects in various scenes. Additionally; we projected an image onto each of the surfaces of the physical objects.

元の言語English
ホスト出版物のタイトル2016 IEEE 2nd Workshop on Everyday Virtual Reality, WEVR 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ32-35
ページ数4
ISBN(電子版)9781509008407
DOI
出版物ステータスPublished - 2017 2 21
イベント2nd IEEE Workshop on Everyday Virtual Reality, WEVR 2016 - Greenville, United States
継続期間: 2016 3 20 → …

Other

Other2nd IEEE Workshop on Everyday Virtual Reality, WEVR 2016
United States
Greenville
期間16/3/20 → …

ASJC Scopus subject areas

  • Media Technology

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  • これを引用

    Hachiuma, R., & Saito, H. (2017). Recognition and pose estimation of primitive shapes from depth images for spatial augmented reality. : 2016 IEEE 2nd Workshop on Everyday Virtual Reality, WEVR 2016 (pp. 32-35). [7859541] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WEVR.2016.7859541