传感器融合方法在结构-运动(SfM)应用中的创新设计方法

Antonius Schmidt, Dominik Aufderheide
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引用次数: 0

摘要

基于单个相机的图像从真实世界的物体生成三维模型是计算机视觉和许多可能的应用中的重要应用。为此,运动结构(SfM)算法提供了一种基于整个图像序列中2D特征点的成功跟踪以及随后的相机自运动估计和全局3D结构恢复的方法。然而,这些方法的性能仍然受到重建场景模型的精度、密度和完整性的限制。本文介绍了一种基于发明设计方法(IDM)的方法,用于系统分析现有的SfM方法,并随后推导出一种新的传感器融合方法,以克服当前应用相关的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Inventive Design Methodology for a Sensor Fusion Approach in Structure-from-Motion (SfM) Applications
Generating three-dimensional models from real world objects based on images from a single camera is an important application in computer vision and numerous possible applications. For this Structure-from-Motion (SfM) algorithms provide an approach based on the successful tracking of 2D feature points throughout an image sequence and the subsequent camera egomotion estimation and a global 3D structure recovery. However, the performance of those approaches is still limited according their precision, denseness and completeness of the reconstructed scene model. This paper introduces an approach based on Inventive Design Methodology (IDM) for the systematic analysis of existing SfM approaches and a subsequent derivation of a novel sensor fusion approach in order to overcome current application-related restrictions.
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