Automatic 3D modeling using range images obtained from unknown viewpoints

Daniel F. Huber
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引用次数: 46

Abstract

In this paper, we present a method for automatically creating a 3D model of a scene from a set of range images obtained from unknown viewpoints. Existing 3D modeling approaches require manual interaction or rely on mechanical methods to estimate the viewpoints. Given a set of range images (views), we use a surface matching system to exhaustively register all pairs of views. The results are verified for consistency, but some incorrect matches may be locally undetectable and correct matches may be missed. We then construct a consistent model from these potentially faulty matches using a global consistency criterion to eliminate incorrect, but locally consistent, matches. The procedure is demonstrated through an application called hand-held modeling, in which a 3D model is automatically created by scanning an object held in a person's hand.
使用从未知视点获得的距离图像进行自动3D建模
在本文中,我们提出了一种从一组未知视点获得的距离图像中自动创建场景三维模型的方法。现有的3D建模方法需要人工交互或依赖于机械方法来估计视点。给定一组范围图像(视图),我们使用表面匹配系统来详尽地注册所有对视图。验证结果的一致性,但一些不正确的匹配可能在局部无法检测到,而正确的匹配可能会丢失。然后,我们使用全局一致性标准从这些潜在错误匹配中构建一致模型,以消除不正确但局部一致的匹配。这个过程是通过一个叫做手持建模的应用程序来演示的,在这个应用程序中,通过扫描一个人手中的物体来自动创建一个3D模型。
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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