基于图像的VR内容无纹理物体三维重建

Jahanzeb Hafeez, Seung-hyun Lee, Soon-chul Kwon, Alaric Hamacher
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引用次数: 13

摘要

虚拟现实和增强现实的最新发展增加了许多不同领域对内容的需求。为VR创建内容的快速方法之一是对真实物体进行3D建模。在本文中,我们提出了一种在假设物体没有明显特征的情况下,从二维图像集重建真实物体三维模型的系统。我们明确地考虑由一个或多个表面组成的物体,并各向同性地辐射恒定能量。我们设计了一个低成本的便携式多相机平台系统,能够同时捕获所有相机的图像。为了评估系统的性能,将三维模型与CAD模型进行了比较。提出了一种简单的算法来获取目标的原始纹理或颜色。利用实验后发现的最佳图案,制作了平昌奥运会吉祥物“Soohorang”的3D模型,作为VR内容使用
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Based 3D Reconstruction of Texture-less Objects for VR Contents
Recent development in virtual and augmented reality increases the demand for content in many different fields. One of the fast ways to create content for VR is 3D modeling of real objects. In this paper we propose a system to reconstruct three-dimensional models of real objects from the set of two-dimensional images under the assumption that the subject does not has distinct features. We explicitly consider an object that is made of one or more surfaces and radiant constant energy isotropically. We design a low cost portable multi camera rig system that is capable of capturing images simultaneously from all cameras. In order to evaluate the performance of the proposed system, comparison is made between 3D model and a CAD model. A simple algorithm is also proposed to acquire original texture or color of the subject. Using best pattern found after the experiments, 3D model of the Pyeongchang Olympic Mascot “Soohorang” is created to use as VR content
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