增强现实中有形和可见的三维物体重建

Yinchen Wu, Liwei Chan, Wen-Chieh Lin
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引用次数: 4

摘要

在电影制作、游戏设计、教育和文化保护等领域的许多重要应用都涉及到3D物体和场景的建模、创作或编辑。创建3D模型的两种主要方法是:1)建模,使用计算机软件;2)重建,通常使用高质量的3D扫描仪。支持后一种方法的高质量扫描仪对普通大众来说仍然是负担不起的。自从消费级RGBD相机出现以来,人们对使用深度相机的3D重建系统的兴趣越来越大。然而,大多数这样的系统都不是用户友好的,如果要获得良好的重建结果,需要大量的努力和实践。在本文中,我们提出通过帮助用户使用增强现实(AR)技术来增加基于深度相机的3D重建的可访问性。具体来说,所提出的方法将允许用户用手自由旋转/移动目标对象,并在重建过程中看到对象与其重建模型重叠。以及比传统的重建系统更本能,我们提出的系统将提供一个对象的完整3D重建有用的提示,包括最佳捕获范围;提醒:提醒物体以稳定的速度移动和旋转;哪些模型区域足够复杂,需要放大。我们通过用户研究来评估我们的系统,将其性能与其他三种最先进的方法进行比较,发现我们的系统优于其他方法。具体来说,参与者在可用性、可理解性和模型满意度方面对它的评价最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tangible and Visible 3D Object Reconstruction in Augmented Reality
Many crucial applications in the fields of filmmaking, game design, education, and cultural preservation — among others — involve the modeling, authoring, or editing of 3D objects and scenes. The two major methods of creating 3D models are 1) modeling, using computer software, and 2) reconstruction, generally using high-quality 3D scanners. Scanners of sufficient quality to support the latter method remain unaffordable to the general public. Since the emergence of consumer-grade RGBD cameras, there has been a growing interest in 3D reconstruction systems using depth cameras. However, most such systems are not user-friendly, and require intense efforts and practice if good reconstruction results are to be obtained. In this paper, we propose to increase the accessibility of depth-camera-based 3D reconstruction by assisting its users with augmented reality (AR) technology. Specifically, the proposed approach will allow users to rotate/move a target object freely with their hands and see the object being overlapped with its reconstructing model during the reconstruction process. As well as being more instinctual than conventional reconstruction systems, our proposed system will provide useful hints on complete 3D reconstruction of an object, including the best capturing range; reminder of moving and rotating the object at a steady speed; and which model regions are complex enough to require zooming-in. We evaluated our system via a user study that compared its performance against those of three other stateof- the-art approaches, and found our system outperforms the other approaches. Specifically, the participants rated it highest in usability, understandability, and model satisfaction.
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