多视点TOF传感器融合系统的设计与标定

Y. Kim, Derek Chan, C. Theobalt, S. Thrun
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引用次数: 142

摘要

本文描述了一个系统的设计和校准,该系统可以同时记录多个高分辨率视频和低分辨率Swissranger飞行时间(TOF)深度相机的动态场景。该系统将作为开发高质量多视角动态场景重建和3D视频新算法的试验台。本文还对随机和系统的深度摄像机噪声进行了详细的分析,这对视频和深度数据的可靠融合至关重要。最后,本文描述了如何补偿系统深度误差,并将所有动态深度和视频数据校准到一个公共帧中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and calibration of a multi-view TOF sensor fusion system
This paper describes the design and calibration of a system that enables simultaneous recording of dynamic scenes with multiple high-resolution video and low-resolution Swissranger time-of-flight (TOF) depth cameras. The system shall serve as a testbed for the development of new algorithms for high-quality multi-view dynamic scene reconstruction and 3D video. The paper also provides a detailed analysis of random and systematic depth camera noise which is important for reliable fusion of video and depth data. Finally, the paper describes how to compensate systematic depth errors and calibrate all dynamic depth and video data into a common frame.
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