Abstract
In augmented reality, accurate geometric adjustment of real scene and virtual 3D models is important. In this paper, we propose a new method for generating arbitrary views of 3D motion events accurately by using the mutual projections between user’s cameras and cameras around the user. In particular, we show that the trifocal tensors computed from the mutual camera projections can be used efficiently for generating accurate user’s views of 3D motion events from multiple camera images. We also show a method for identifying cameras projected in other cameras by using the invariance in multiple view geometry. The proposed method is implemented and tested in the real scene.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
