Paper
27 February 2012 Multi-layered see-through movie in diminished reality
Yuko Uematsu, Takanori Hashimoto, Takuya Inoue, Naoki Shimizu, Hideo Saito
Author Affiliations +
Proceedings Volume 8288, Stereoscopic Displays and Applications XXIII; 828825 (2012) https://doi.org/10.1117/12.910076
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
This paper presents generating a multi-layered see-through movie for an auto-stereoscopic display. This work is based on Diminished Reality (DR), which is one of the research fields of Augmented Reality (AR). In the usual AR, some virtual objects are added on the real world. On the other hand, DR removes some real objects from the real world. Therefore, the background is visualized instead of the real objects (obstacles) to be removed. We use multiple color cameras and one TOF depth camera. The areas of obstacles are defined by using the depth camera based on the distance of obstacles. The background behind the obstacles is recovered by planarprojection of multiple cameras. Then, the recovered background is overlaid onto the removed obstacles. For visualizing it through the auto-stereoscopic display, the scene is divided into multiple layers such as obstacles and background. The pixels corresponding to the obstacles are not visualized or visualized semi-transparently at the center viewpoints. Therefore, we can see that the obstacles are diminished according to the viewpoints.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuko Uematsu, Takanori Hashimoto, Takuya Inoue, Naoki Shimizu, and Hideo Saito "Multi-layered see-through movie in diminished reality", Proc. SPIE 8288, Stereoscopic Displays and Applications XXIII, 828825 (27 February 2012); https://doi.org/10.1117/12.910076
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Visualization

Calibration

Image segmentation

Video

Augmented reality

Head

Back to Top