Image-Based Modelling for Augmenting Reality

A. Hengel
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引用次数: 3

Abstract

The interaction between real and synthetic geometry is fundamental to Augmented Reality. Portraying such interactions in a manner that is convincing to the user requires 3D models of the shape of the real objects involved. The large-scale application of Augmented Reality technologies will thus require practical methods for generating 3D models of real objects. These methods will need to be fast, flexible, and capable of operating in-situ in order to generate models in unforeseen environments. Image-based modelling offers a means of creating such models by direct analysis of an image set. This paper describes two approaches to image-based modelling for Augmented Reality, and argues that technologies of this type are critical to the future of the domain.
基于图像的增强现实建模
真实几何和合成几何之间的相互作用是增强现实的基础。以一种让用户信服的方式描绘这种交互需要涉及的真实物体形状的3D模型。因此,增强现实技术的大规模应用将需要实际的方法来生成真实物体的3D模型。为了在不可预见的环境中生成模型,这些方法需要快速、灵活,并且能够在现场操作。基于图像的建模提供了一种通过直接分析图像集来创建这种模型的方法。本文描述了增强现实的两种基于图像的建模方法,并认为这种类型的技术对该领域的未来至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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