Detail publikace

Medical Optical Scanning System - Data Fusion Evaluation Method

KALVODOVÁ, P. ŽALUD, L. BURIAN, F.

Originální název

Medical Optical Scanning System - Data Fusion Evaluation Method

Anglický název

Medical Optical Scanning System - Data Fusion Evaluation Method

Jazyk

en

Originální abstrakt

A method for evaluation of quality of multispectral data-fusion for robotic scanning is presented. The method was primarily developed for evaluation of robotic scanner developed in our laboratory, but its use is without doubt much wider. The layers to be evaluated are 3D spatial, color, and thermal. The approach is opposite to most commonly used methods for calibration, since the main task is to find corresponding data in already fused point-clouds. Special calibration plate was developed to allow calibration pattern visibility in all spectra.

Anglický abstrakt

A method for evaluation of quality of multispectral data-fusion for robotic scanning is presented. The method was primarily developed for evaluation of robotic scanner developed in our laboratory, but its use is without doubt much wider. The layers to be evaluated are 3D spatial, color, and thermal. The approach is opposite to most commonly used methods for calibration, since the main task is to find corresponding data in already fused point-clouds. Special calibration plate was developed to allow calibration pattern visibility in all spectra.

Dokumenty

BibTex


@inproceedings{BUT146411,
  author="Petra {Kalvodová} and Luděk {Žalud} and František {Burian}",
  title="Medical Optical Scanning System - Data Fusion Evaluation Method",
  annote="A method for evaluation of quality of multispectral
data-fusion for robotic scanning is presented. The method was
primarily developed for evaluation of robotic scanner developed
in our laboratory, but its use is without doubt much wider. The
layers to be evaluated are 3D spatial, color, and thermal. The
approach is opposite to most commonly used methods for
calibration, since the main task is to find corresponding data in
already fused point-clouds. Special calibration plate was
developed to allow calibration pattern visibility in all spectra.",
  address="IEEE Computer Society Publications",
  booktitle="2017 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)",
  chapter="146411",
  doi="10.1109/ICCAIRO.2017.25",
  howpublished="online",
  institution="IEEE Computer Society Publications",
  year="2017",
  month="may",
  pages="78--82",
  publisher="IEEE Computer Society Publications",
  type="conference paper"
}