Understanding the Behavior of Structure from Motion Problem with False Focal Length

Qiu Ning, Xu Xiang
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Abstract

After intensive research in the past two decades, the geometric and computational aspect of structure from motion (SFM) seems well studied. However, the state of the art is that a practical SFM algorithm that can handle general visual tasks in the real world is still unavailable. One of the contributing reasons is that the first step of SFM involves solving an ill-conditioned problem. In this paper, we present an expressions to describe the error behavior of egomotion estimation when the focal length is calibrated with error. The key results are independent of both the egomotion estimation as well as the calibration algorithms. We show the bas-relief valley will be rotated according to the error in the focal length, in a way that is dependent on the motion-scene configuration. One important suggestion is that, provided that one knows the rough range of the true focal length, setting a larger-than-true focal length helps to estimate the direction of translation better though possibly with larger biases.
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从假焦距运动问题理解结构的行为
经过近二十年的深入研究,运动生成结构(SFM)的几何和计算方面似乎得到了很好的研究。然而,目前的技术状况是,仍然没有一种实用的SFM算法可以处理现实世界中的一般视觉任务。其中一个原因是,SFM的第一步涉及解决病态问题。本文给出了一种描述焦距误差标定时自运动估计误差行为的表达式。关键结果与自运动估计和标定算法无关。我们显示浅浮雕山谷将根据焦距的误差旋转,以一种依赖于运动场景配置的方式。一个重要的建议是,如果一个人知道真实焦距的大致范围,设置一个比真实焦距大的焦距有助于更好地估计平移方向,尽管可能有更大的偏差。
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