部件标签:三维空间中的标签管理框架

Q1 Computer Science Virtual Reality Intelligent Hardware Pub Date : 2023-12-01 DOI:10.1016/j.vrih.2023.06.004
Semir Elezovikj , Jianqing Jia , Chiu C. Tan , Haibin Ling
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引用次数: 0

摘要

在这项工作中,我们的重点是标签布局问题:在虚拟/增强现实场景中指定叠加虚拟注释的位置。设计既不违反特定领域的设计要求,又能满足良好设计的美学和功能原则的标签布局,即使对于熟练的视觉设计师来说也是一项艰巨的任务。在三维对象空间而非投影空间呈现注释,可以保留空间和深度线索。由于注释被固定在三维空间中,因此可以在动态环境中实现稳定的布局。本文有两大贡献。首先,我们提出了一种在虚拟/增强现实场景中通过直接在三维空间中操作注释来管理布局和渲染注释的技术。为此,我们利用了人工势场(Artificial Potential Fields),并使用三维几何约束在三维空间中对其进行调整。其次,我们介绍了 PartLabeling:这是一个网络应用程序形式的开源平台,可作为一个急需的通用框架,轻松添加标注算法和三维模型。这将促进该领域的研究人员公开其算法和实现方法,并确保研究的可重复性。PartLabeling 框架依赖于我们生成的数据集,该数据集是原始 PartNet 数据集[17]的子集,由适合标签管理任务的模型组成。该数据集由 1000 个带有零件注释的三维模型组成。
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PartLabeling: A Label Management Framework in 3D Space

In this work, we focus on the label layout problem: specifying the positions of overlaid virtual annotations in Virtual/Augmented Reality scenarios. Designing a layout of labels that does not violate domain-specific design requirements, while at the same time satisfying aesthetic and functional principles of good design, can be a daunting task even for skilled visual designers. Presenting the annotations in 3D object space instead of projection space, allows for the preservation of spatial and depth cues. This results in stable layouts in dynamic environments, since the annotations are anchored in 3D space. In this paper we make two major contributions. First, we propose a technique for managing the layout and rendering of annotations in Virtual/Augmented Reality scenarios by manipulating the annotations directly in 3D space. For this, we make use of Artificial Potential Fields and use 3D geometric constraints to adapt them in 3D space. Second, we introduce PartLabeling: an open source platform in the form of a web application that acts as a much-needed generic framework allowing to easily add labeling algorithms and 3D models. This serves as a catalyst for researchers in this field to make their algorithms and implementations publicly available, as well as ensure research reproducibility. The PartLabeling framework relies on a dataset that we generate as a subset of the original PartNet dataset [17] consisting of models suitable for the label management task. The dataset consists of 1,000 3D models with part annotations.

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来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
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