Abstract:
This paper proposes a method to merge the real and virtual world in snapshots captured by a mobile camera. While snapshots are usually captured in a dynamic scene that te...Show MoreMetadata
Abstract:
This paper proposes a method to merge the real and virtual world in snapshots captured by a mobile camera. While snapshots are usually captured in a dynamic scene that temporally changes the appearance, we developed a pose estimation method for a mobile camera by using depth sensors installed in the capturing environment. In order to generate a fine MR (Mixed-Reality) image, our method segments overlapping or overlapped regions by combining a graph-cut technique and captured depth data. A pilot system is presented to confirm the effectiveness of our proposed methods.
Date of Conference: 11-15 November 2012
Date Added to IEEE Xplore: 14 February 2013
ISBN Information:
ISSN Information:
Conference Location: Tsukuba, Japan
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Depth Camera ,
- Snapshot System ,
- Virtual World ,
- Pose Estimation ,
- Dynamic Scenes ,
- Mobile Camera ,
- Pose Estimation Methods ,
- Dynamic Environment ,
- Normal Vector ,
- Color Images ,
- Projection Matrix ,
- Target Object ,
- Depth Map ,
- Depth Images ,
- Affine Transformation ,
- Time Stamp ,
- 3D Point ,
- 3D Position ,
- Virtual Objects ,
- Object Regions ,
- User Views ,
- Camera Pose ,
- Object Contour ,
- Stereo Camera ,
- Camera Pose Estimation
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Depth Camera ,
- Snapshot System ,
- Virtual World ,
- Pose Estimation ,
- Dynamic Scenes ,
- Mobile Camera ,
- Pose Estimation Methods ,
- Dynamic Environment ,
- Normal Vector ,
- Color Images ,
- Projection Matrix ,
- Target Object ,
- Depth Map ,
- Depth Images ,
- Affine Transformation ,
- Time Stamp ,
- 3D Point ,
- 3D Position ,
- Virtual Objects ,
- Object Regions ,
- User Views ,
- Camera Pose ,
- Object Contour ,
- Stereo Camera ,
- Camera Pose Estimation