Paper
15 November 2007 Vision-based 3D registration of outdoor AR system
Xueling Wu, Qingyun Du, Fu Ren
Author Affiliations +
Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 678825 (2007) https://doi.org/10.1117/12.750812
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
One of the key technologies of Outdoor AR is the real-time 3D registration of objects in the real world. The paper puts forward a new hardware registration method which not only borrows the ideas of identification point registration, but improves it to realize tracking registration in video-based outdoor AR, which uses see-through head mounted display (STHMD) loaded on outdoor AR system for showing the result of registration, and employs one color CCD camera capturing video to obtain the world coordinate of scene border. Furthermore, the paper utilizes 3D electronic compass and GPS attached on user's body to calculate transition matrix from the world coordinate system to the camera coordinate system. Then, the transition matrix from the virtual coordinate system to the image plane can be calculated out and 3D virtual object generated by computer model is added into the STHMD as a whole. Synthetically, video-based registration offers a superior approach to 3D registration of dynamic object. Finally, the paper provides the implementation process and designs a test. By the case study, the new method significantly simplifies the registration system and algorithm, and coordination errors are eliminated. The algorithm requires little computation and can be easily realized in real time without delay. Compared with the several existing registration methods, it is significantly improved.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xueling Wu, Qingyun Du, and Fu Ren "Vision-based 3D registration of outdoor AR system", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 678825 (15 November 2007); https://doi.org/10.1117/12.750812
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Cited by 1 scholarly publication.
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KEYWORDS
Cameras

Imaging systems

Image registration

Augmented reality

3D image processing

3D modeling

Autoregressive models

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