摄像机从关节运动自动校准

P. Kuo, Jean-Christophe Nebel, D. Makris
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引用次数: 10

摘要

提出了一种基于无约束人体运动的自动标定方法。它依赖于与人类两足运动相关的潜在生物力学约束。通过分析序列中关键点的位置,我们的技术能够检测到人体采用特定姿势的帧,从而确保这些关键点的共平面性,从而允许成功的相机校准。我们的技术包括一个3D模型适应阶段,它消除了对这些点的精确几何3D描述的要求。我们的方法使用各种人类双足运动和相机配置进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Camera auto-calibration from articulated motion
This paper presents a novel auto-calibration method from unconstrained human body motion. It relies on the underlying biomechanical constraints associated with human bipedal locomotion. By analysing positions of key points during a sequence, our technique is able to detect frames where the human body adopts a particular posture which ensures the coplanarity of those key points and therefore allows a successful camera calibration. Our technique includes a 3D model adaptation phase which removes the requirement for a precise geometrical 3D description of those points. Our method is validated using a variety of human bipedal motions and camera configurations.
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