<p>This study designs a scene synthesis framework that accurately and effectively generates virtual scenes from real spaces. And, we propose a collaborative extended reality (XR) application in an asymmetric virtual environment of mixed reality (MR) and virtual reality (VR) from a virtual scene that is precisely synchronized with reality. First, The proposed framework consists of geometric analysis to identify the three-dimensional (3D) structure and object composition that constitute the real space, and semantic interpretation to classify the types and features of objects and calculate the information necessary for virtual scene generation. Then, a virtual scene corresponding to reality is generated by automatically arranging the same type of objects in a virtual scene of the same scale as the real space. This study measured the time required for each task to verify the efficiency of the proposed framework as the first experiment. As a result, the total task time including manual work was approximately 20 minutes, and it was confirmed that it had an efficient structure through comparative analysis with existing studies. The next experiment creates a creative studio collaboration XR experience environment in an asymmetric virtual environment synchronized with reality through the proposed framework. Based on this, survey experiments were conducted to analyze VR user experience in a virtual environment based on reality. As a result, we confirmed that the VR user experience that recognizes reality has a positive effect on immersion, concentration, and adaptation.</p>

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Design and application of scene synthesis framework for collaborative XR in asymmetric virtual environments

  • Giri Na,
  • Jinmo Kim

摘要

This study designs a scene synthesis framework that accurately and effectively generates virtual scenes from real spaces. And, we propose a collaborative extended reality (XR) application in an asymmetric virtual environment of mixed reality (MR) and virtual reality (VR) from a virtual scene that is precisely synchronized with reality. First, The proposed framework consists of geometric analysis to identify the three-dimensional (3D) structure and object composition that constitute the real space, and semantic interpretation to classify the types and features of objects and calculate the information necessary for virtual scene generation. Then, a virtual scene corresponding to reality is generated by automatically arranging the same type of objects in a virtual scene of the same scale as the real space. This study measured the time required for each task to verify the efficiency of the proposed framework as the first experiment. As a result, the total task time including manual work was approximately 20 minutes, and it was confirmed that it had an efficient structure through comparative analysis with existing studies. The next experiment creates a creative studio collaboration XR experience environment in an asymmetric virtual environment synchronized with reality through the proposed framework. Based on this, survey experiments were conducted to analyze VR user experience in a virtual environment based on reality. As a result, we confirmed that the VR user experience that recognizes reality has a positive effect on immersion, concentration, and adaptation.