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The paper provides a comprehensive exploration of the current implementation of 3D model generation and the development of a novel approach to creating 3D models for extended reality (XR) training applications. The work introduces the development of a unique code with a purpose of simplifying the approach while reducing resource usage. The platform interprets engineering drawings, identifies the lines and circles that constitute each shape, and prompts the user for extrusion values. These values are then utilized to extrude the shapes, which are subsequently combined in Blender using a custom Python script. The paper thoroughly discusses the development process and its steps, the testing process. It also addresses the limitations of the current approach and proposes potential enhancements for future iterations.

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Towards the Generalization of Developing 3D Objects for Extended Reality Training

  • 会议论文

  • 发表日期：

    2025年

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  • Mazen Ashraf,
  • Nada Nasser,
  • Nada Sharaf

摘要

The paper provides a comprehensive exploration of the current implementation of 3D model generation and the development of a novel approach to creating 3D models for extended reality (XR) training applications. The work introduces the development of a unique code with a purpose of simplifying the approach while reducing resource usage. The platform interprets engineering drawings, identifies the lines and circles that constitute each shape, and prompts the user for extrusion values. These values are then utilized to extrude the shapes, which are subsequently combined in Blender using a custom Python script. The paper thoroughly discusses the development process and its steps, the testing process. It also addresses the limitations of the current approach and proposes potential enhancements for future iterations.