Calibration images under different lighting conditions vol. 2 - Open Research Data - Bridge of Knowledge

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Calibration images under different lighting conditions vol. 2

Description

Dataset description: Calibration images under different lighting conditions vol. 1

Calibration photos under different lighting conditions. The set includes a geometric calibration matrix, a color standard, a spectrometer and a lamp with a variable lighting spectrum. 8 images were taken in each of the 12 sessions. The light spectrum was measured in each session. The results of the light spectrum measurements can be found in each folder respectively. Calibration results from each session for the same camera are in the CAL folder. The results are saved as an XML file generated by Agisoft Metashape software. 


Object: Geometric calibration matrix, color calibration matrix
Location: Laboratory
Camera type: Sony Alpha 6000 (details in metadata)
Metadata data: yes
Model type: Perspective
Image dimensions: 6000x3376pixels
Sensor size: APSC
Number of photos: 104

Aperature: F/2.8
File format: RAW ARW (Sony)
Focus: Manual 
Shuter speed: 1/40
ISO 320

Session/Lamp Settings:
1 Tungusten
2 Modeling Lamp
3 White Halogen
4 Horizon Daylight
5 Daylight
6 R
7 G
8 B
9 RGB
10 GB
11 RB
12 RG

Spectrometer type: UPRtec MK350D

Results: Spectro data in xls file.

Specrum test reports: yes / 3 per session

Spectro data description: eg. Spektro2-001_p1

001- sesion number 
p1- report type

Callibration results: No

 

Laboratory set diagram

Illustration of the publication

Example photo

Illustration of the publication

Example spectum

Illustration of the publication

Dataset file

CalibrationDataRGBW - set 2.zip
2.1 GB, S3 ETag 12fd4f84705b7620c87dfb2e56f4c483-5, downloads: 7
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file CalibrationDataRGBW - set 2.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution

Details

Year of publication:
2024
Verification date:
2024-01-19
Creation date:
2023
Dataset language:
English
Fields of science:
  • civil engineering, geodesy and transport (Engineering and Technology)
DOI:
DOI ID 10.34808/r9b5-dj17 open in new tab
Funding:
Series:
Verified by:
Gdańsk University of Technology

Keywords

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