- 著者
- 佐藤 清秀 内山 晋二 山本 裕之
- 出版者
- 特定非営利活動法人 日本バーチャルリアリティ学会
- 雑誌
- 日本バーチャルリアリティ学会論文誌 (ISSN:1344011X)
- 巻号頁・発行日
- vol.10, no.3, pp.391-400, 2005-09-30 (Released:2017-02-01)
- 被引用文献数
- 3
This paper describes a new robust registration framework, which is named "UG+B", for Augmented or Mixed Reality (AR/MR) applications. Our methods measure pose of a head-mounted display (HMD) using not only an image captured by a user's view camera mounted on the HMD, but also images captured by bird's-eye view cameras each of which observes the HMD from a third-person's viewpoint, as well as an orientation measured by a sensor mounted on the HMD. In our methods, the markers placed in the scene and that on the HMD are tracked on the user's view and the bird's-eye view image respectively. Then, the pose of the HMD is estimated to minimize the sum of the re-projection error for all markers. Furthermore, the inclination angles measured by the orientation sensor are used as known values to constrain the pose, thus, the remaining parameters, i.e. the position and azimuth angle, are deduced by image information. In addition to theoretical discussions, this paper demonstrates the effectiveness of our methods by experiments in comparison with conventional vision-based registration methods.
- 著者
- 小竹 大輔 佐藤 清秀 内山 晋二 山本 裕之
- 出版者
- 特定非営利活動法人 日本バーチャルリアリティ学会
- 雑誌
- 日本バーチャルリアリティ学会論文誌 (ISSN:1344011X)
- 巻号頁・発行日
- vol.13, no.2, pp.183-193, 2008
- 被引用文献数
- 2
We propose a hybrid camera pose estimation method using an inclination sensor and line segments. While our method does not require any prior information on the camera pose and the correspondences between 2D and 3D line segments, it can calculate the camera pose fast using the two-step algorithm that calculates azimuth first and then position under the inclination constraint obtained from the sensor. These features meet the requirement of initialization for edge-based registration used in mixed reality (MR) systems. This paper describes the details of the method and shows its effectiveness with experiments in which the method is used in an actual MR application.