沉浸式虚拟现实中三维草图的模型检索

D. Giunchi, Stuart James, A. Steed
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引用次数: 8

摘要

我们描述了一种使用虚拟环境中的自由形式草图作为查询来搜索3D模型集合的新方法。与传统的草图检索相反,我们的查询直接绘制到示例模型上。使用沉浸式虚拟现实,用户可以通过展示所需结构、颜色和纹理的草图来表达他们的查询。与以前基于草图的检索方法不同,用户可以沉浸在环境中,而不依赖于文本查询或2D投影,从而使用户与环境脱节。我们展示了卷积神经网络(CNN)如何创建彩色3D草图的多视图表示。使用这样的描述符表示,我们的系统能够快速检索模型,并且通过这种方式,我们为用户提供了一种导航大型对象数据集的交互式方法。通过初步的用户研究,我们证明了使用我们的VR 3D模型检索系统,用户可以进行快速直观的搜索。使用我们的系统,用户可以从一个非常大的数据库中快速地用特定的模型填充虚拟环境,因此该技术有可能广泛应用于沉浸式编辑系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model Retrieval by 3D Sketching in Immersive Virtual Reality
We describe a novel method for searching 3D model collections using free-form sketches within a virtual environment as queries. As opposed to traditional Sketch Retrieval, our queries are drawn directly onto an example model. Using immersive virtual reality the user can express their query through a sketch that demonstrates the desired structure, color and texture. Unlike previous sketch-based retrieval methods, users remain immersed within the environment without relying on textual queries or 2D projections which can disconnect the user from the environment. We show how a convolutional neural network (CNN) can create multi-view representations of colored 3D sketches. Using such a descriptor representation, our system is able to rapidly retrieve models and in this way, we provide the user with an interactive method of navigating large object datasets. Through a preliminary user study we demonstrate that by using our VR 3D model retrieval system, users can perform quick and intuitive search. Using our system users can rapidly populate a virtual environment with specific models from a very large database, and thus the technique has the potential to be broadly applicable in immersive editing systems.
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