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Article type: Research Article
Authors: Alkhalifah, Eman S.; *
Affiliations: Graphic Design and Digital Media Department, College of Arts and Design, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, ealkha
Correspondence: [*] Corresponding author. Eman S. Alkhalifah, Graphic Design and Digital Media Department, College of Arts and Design, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia, ealkha. E-mails: [email protected]; [email protected].
Abstract: A satisfactory graphic design and good-looking 3D models and environments are the backbones of a positive user experience, especially in Augmented Reality (AR) / Virtual Reality (VR) app development. Where these technologies is seen as the an excellent realm of human-computer interaction. The purpose is to fool the viewer by the seamless incorporation of simulated features. Every AR system relies on true interaction and three-dimensional registration to function properly. In this research, we present a strategy for real-world 3D image registration and tracking. The primary foci of this study are the first three stages: initial registrations and matrix acquisitions, road scene feature extraction, and virtual information registration. At initial registration, a rough virtual plane is estimated onto which the objects will be projected. To this, we propose YoloV3 for transferring features from a virtual to a real-world setting. The projection process concludes with a guess at the camera’s posture matrix. This tech is used in the vehicle’s head-up display to augment reality. The average time required to register a virtual item is 43 seconds. The final step in making augmented reality content is to merge the computer-generated images of virtual objects with real-world photographs in full colour. Our results indicate that this method is effective and precise for 3D photo registration but has the potential to dramatically increase the verisimilitude of AR systems.
Keywords: Graphic designs, human-computer interaction, computer vision, real-scene, AR/VR applications, 3D image registration, and tracking and mapping
DOI: 10.3233/JIFS-233878
Journal: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2297-2309, 2024
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