Publication detail
Medical Optical Scanning System - Data Fusion Evaluation Method
KALVODOVÁ, P. ŽALUD, L. BURIAN, F.
Original Title
Medical Optical Scanning System - Data Fusion Evaluation Method
English Title
Medical Optical Scanning System - Data Fusion Evaluation Method
Type
conference paper
Language
en
Original Abstract
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.
English abstract
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.
Keywords
data fusion; robotic scanner; multispectral evaluation target; CCD camera; thermal imager
Released
20.05.2017
Publisher
IEEE Computer Society Publications
ISBN
978-1-5090-6536-3
Book
2017 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)
Pages from
78
Pages to
82
Pages count
5
URL
Documents
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"
}