Synthesizing scene-aware virtual reality teleport graphs
Synthesizing scene-aware virtual reality teleport graphs
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DOI：
10.1145/3478513.3480478
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发表时间：
2021-12
期刊：
影响因子：
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通讯作者：
Changyang Li;Haikun Huang;Jyh-Ming Lien;L. Yu
中科院分区：
文献类型：
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作者：
Changyang Li;Haikun Huang;Jyh-Ming Lien;L. Yu
我们提出了一种新的方法合成场景感知的虚拟现实传送图，这有利于在室内虚拟环境中的导航，建议理想的传送位置。我们的方法通过提取场景感知图，编码观察者和周围物体之间的场景感知关系，并预测在这些位置的意见是多么可取的全景视图分析候选瞬移位置。我们训练了一个图卷积模型来预测不同瞬移位置的场景感知分数。基于这样的预测，我们应用一种优化方法来采样一组理想的传送位置，同时考虑其他导航属性，如覆盖范围和连接，合成一个传送图。使用传送图，用户可以有效地浏览虚拟环境。我们展示了我们的方法合成心灵传输图常见的室内场景。通过进行用户研究，我们验证的有效性和可取性的虚拟环境导航通过合成的心灵传输图。我们还扩展了我们的方法，以科普不同的约束，用户偏好和实际情况。
We present a novel approach for synthesizing scene-aware virtual reality teleport graphs, which facilitate navigation in indoor virtual environments by suggesting desirable teleport positions. Our approach analyzes panoramic views at candidate teleport positions by extracting scene perception graphs, which encode scene perception relationships between the observer and the surrounding objects, and predict how desirable the views at these positions are. We train a graph convolutional model to predict the scene perception scores of different teleport positions. Based on such predictions, we apply an optimization approach to sample a set of desirable teleport positions while considering other navigation properties such as coverage and connectivity to synthesize a teleport graph. Using teleport graphs, users can navigate virtual environments efficaciously. We demonstrate our approach for synthesizing teleport graphs for common indoor scenes. By conducting a user study, we validate the efficacy and desirability of navigating virtual environments via the synthesized teleport graphs. We also extend our approach to cope with different constraints, user preferences, and practical scenarios.