ML Anthology

Design and Calibration of a Multi-View TOF Sensor Fusion System

Young Min Kim, Derek Chan, Christian Theobalt, Sebastian Thrun
CVPRW 2008 pp. 1-7
doi:10.1109/CVPRW.2008.4563160 /cvprw/2008/kim2008cvprw-design/

Abstract

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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Text

Kim et al. "Design and Calibration of a Multi-View TOF Sensor Fusion System." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563160

Markdown

[Kim et al. "Design and Calibration of a Multi-View TOF Sensor Fusion System." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/kim2008cvprw-design/) doi:10.1109/CVPRW.2008.4563160

BibTeX

@inproceedings{kim2008cvprw-design,
  title     = {{Design and Calibration of a Multi-View TOF Sensor Fusion System}},
  author    = {Kim, Young Min and Chan, Derek and Theobalt, Christian and Thrun, Sebastian},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-7},
  doi       = {10.1109/CVPRW.2008.4563160},
  url       = {https://mlanthology.org/cvprw/2008/kim2008cvprw-design/}
}