基于虚拟关键帧的有效束调整:一种从运动到多帧结构的分层方法

H. Shum, Zhengyou Zhang, Qifa Ke
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引用次数: 81

摘要

在本文中,我们提出了一种有效的从运动中构造长图像序列的分层方法。我们的方法有两个关键要素:每个片段的精确3D重建和整个序列的有效束调整。首先将图像序列划分为多个片段,以便在每个片段上可靠地跟踪特征点。每个部分都有很长的基线,以确保准确的3D重建。为了有效地从所有片段中捆绑调整3D结构,我们通过引入“虚拟关键帧”来减少每个片段中的帧数。虚拟帧编码了每个片段的三维结构及其不确定性,但它们只是原始帧的一小部分。与传统的束调整方法相比,我们的方法实现了显著的加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient bundle adjustment with virtual key frames: a hierarchical approach to multi-frame structure from motion
In this paper we present an efficient hierarchical approach to structure from motion for long image sequences. There are two key elements to our approach: accurate 3D reconstruction for each segment and efficient bundle adjustment for the whole sequence. The image sequence is first divided into a number of segments so that feature points can be reliably tracked across each segment. Each segment has a long baseline to ensure accurate 3D reconstruction. To efficiently bundle adjust 3D structures from ail segments, we reduce the number of frames in each segment by introducing "virtual keyframes". The virtual frames encode the 3D structure of each segment along with its uncertainty but they form a small subset of the original frames. Our method achieves significant speedup over conventional bundle adjustment methods.
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