地下公用设施可视化的交互式混合现实方法

IF 2.1 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Mohamed Zahlan Abdul Muthalif, Davood Shojaei, Kourosh Khoshelham
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引用次数: 0

摘要

这项研究旨在利用混合现实(MR)技术提出六种交互式可视化方法,从而克服地下公用设施可视化方面的困难。混合现实技术能将虚拟内容与现实内容无缝结合,通过利用混合现实技术,可以获得更加身临其境的真实体验。本研究根据场景复杂度、视差效应、真实世界遮挡、深度感知和整体效果对所提出的可视化方法进行了评估,旨在找出最有效的方法,以解决地下公用事业背景下的视觉感知挑战。研究结果表明,某些磁共振可视化方法在减轻地下公用设施可视化挑战方面比其他方法更有效。研究强调了这些方法的潜力,业内专业人士的反馈表明,每种方法在特定情况下都很有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Interactive Mixed Reality Methods for Visualization of Underground Utilities

Interactive Mixed Reality Methods for Visualization of Underground Utilities

This research aims to overcome the difficulties associated with visualizing underground utilities by proposing six interactive visualization methods that utilize Mixed Reality (MR) technology. By leveraging MR technology, which enables the seamless integration of virtual and real-world content, a more immersive and authentic experience is possible. The study evaluates the proposed visualization methods based on scene complexity, parallax effect, real-world occlusion, depth perception, and overall effectiveness, aiming to identify the most effective methods for addressing visual perceptual challenges in the context of underground utilities. The findings suggest that certain MR visualization methods are more effective than others in mitigating the challenges of visualizing underground utilities. The research highlights the potential of these methods, and feedback from industry professionals suggests that each method can be valuable in specific contexts.

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来源期刊
CiteScore
8.20
自引率
2.40%
发文量
38
期刊介绍: PFG is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the interconnected field of geoinformation science. It places special editorial emphasis on the communication of new methodologies in data acquisition and new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general. The journal hence addresses both researchers and students of these disciplines at academic institutions and universities as well as the downstream users in both the private sector and public administration. Founded in 1926 under the former name Bildmessung und Luftbildwesen, PFG is worldwide the oldest journal on photogrammetry. It is the official journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF).
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