User-guided 3D reconstruction using multi-view stereo

Sverker Rasmuson, Erik Sintorn, Ulf Assarsson
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引用次数: 2

Abstract

We present a user-guided system for accessible 3D reconstruction and modeling of real-world objects using multi-view stereo. The system is an interactive tool where the user models the object on top of multiple selected photographs. Our tool helps the user place quads correctly aligned to the photographs using a multi-view stereo algorithm. This algorithm in combination with user-provided information about topology, visibility, and how to separate foreground from background, creates favorable conditions in successfully reconstructing the object. The user only needs to manually specify a coarse topology which, followed by subdivision and a global optimization algorithm, creates an accurate model with the desired mesh density. This global optimization algorithm has a higher probability of converging to an accurate result than a fully automatic system. With our proposed tool, we lower the barrier of entry for creating high-quality 3D reconstructions of real-world objects with a desirable topology. Our interactive tool separates the most tedious and difficult parts of modeling to the computer, while giving the user control over the most common robustness issues in automatic 3D reconstruction. The provided workflow can be a preferable alternative to using automatic scanning techniques followed by re-topologization.
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用户引导三维重建使用多视图立体
我们提出了一个用户导向的系统,可访问的三维重建和建模的现实世界的对象使用多视图立体。该系统是一个交互式工具,用户可以在多个选定的照片上对对象进行建模。我们的工具可以帮助用户使用多视图立体算法将四边形正确对齐到照片上。该算法结合用户提供的拓扑、可见性、前景与背景分离等信息,为成功重建目标创造了有利条件。用户只需要手动指定一个粗略的拓扑结构,然后进行细分和全局优化算法,创建一个具有所需网格密度的精确模型。与全自动系统相比,这种全局优化算法收敛到精确结果的概率更高。通过我们提出的工具,我们降低了使用理想拓扑创建高质量现实世界物体3D重建的门槛。我们的交互式工具将建模的最繁琐和最困难的部分分离到计算机,同时让用户控制自动3D重建中最常见的鲁棒性问题。所提供的工作流可以是使用自动扫描技术然后进行重新拓扑化的更可取的替代方案。
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