Abstract
Sports broadcasts often use pitch aligned graphics to provide additional information to the viewer. This is often achieved by using professional cameras equipped with high accuracy sensors or elaborate manual calibration techniques to measure the broadcasting cameras’ position and orientation, allowing the graphics to be accurately matched to the camera view. While previous research has investigated how the camera position and orientation can be estimated for professional broadcast cameras alone, none of the previous works have targeted smartphones.In this paper, we investigate whether line pitch markings in combination with feature matching computer vision techniques can be used to estimate an on-site users position and orientation with sufficient accuracy to align augmented reality content with the pitch.
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.
