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

Ryo Hachiuma; Hideo Saito

doi:10.1109/WEVR.2016.7859541

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

Ryo Hachiuma, Hideo Saito

情報工学科

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	2016 IEEE 2nd Workshop on Everyday Virtual Reality, WEVR 2016
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	32-35
ページ数	4
ISBN（電子版）	9781509008407
DOI	https://doi.org/10.1109/WEVR.2016.7859541
出版ステータス	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

Other	2nd IEEE Workshop on Everyday Virtual Reality, WEVR 2016
Country	United States
City	Greenville
Period	16/3/20 → …

ASJC Scopus subject areas

Media Technology

文献へのアクセス

10.1109/WEVR.2016.7859541

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引用スタイル

Hachiuma, R & Saito, H 2017, Recognition and pose estimation of primitive shapes from depth images for spatial augmented reality. in 2016 IEEE 2nd Workshop on Everyday Virtual Reality, WEVR 2016., 7859541, Institute of Electrical and Electronics Engineers Inc., pp. 32-35, 2nd IEEE Workshop on Everyday Virtual Reality, WEVR 2016, Greenville, United States, 16/3/20. https://doi.org/10.1109/WEVR.2016.7859541

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abstract = "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.",

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