基于行人的单相机自动校准的能力和局限性

R. Mohedano, N. García
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引用次数: 5

摘要

许多环境缺乏足够的建筑信息,无法基于从场景结构中提取的特征进行自动校准。然而,通常可以利用行走的人随时间的观察来估计获取图像中的垂直消失点和地平线。然而,这些信息不足以在不假定过度简化的情况下对一般相机进行校准。本文研究了仅基于图像中垂直消失点和地平线知识的单相机校准方法的能力和局限性。数学分析为单摄像头行人自动标定的可行性提供了条件。此外,还给出了应用实例并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capabilities and limitations of mono-camera pedestrian-based autocalibration
Many environments lack enough architectural information to allow an autocalibration based on features extracted from the scene structure. Nevertheless, the observation over time of walking people can generally be used to estimate the vertical vanishing point and the horizon line in the acquired image. However, this information is not enough to allow the calibration of a general camera without presuming excessive simplifications. This paper presents a study on the capabilities and limitations of the mono-camera calibration methods based solely on the knowledge of the vertical vanishing point and the horizon line in the image. The mathematical analysis sets the conditions to assure the feasibility of the mono-camera pedestrian-based autocalibration. In addition, examples of applications are presented and discussed.
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