Search
Description
Dataset description: Calibration images under different lighting conditions - static mode for feature detection
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. 10 static 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 same folder named the sesion number.
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: 120
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 and TXT 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
Example photo
Example spectum
Dataset file
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
File details
- License:
-
open in new tab
CC BYAttribution
Details
- Year of publication:
- 2024
- Verification date:
- 2024-06-17
- Creation date:
- 2023
- Dataset language:
- English
- Fields of science:
-
- civil engineering, geodesy and transport (Engineering and Technology)
- DOI:
- DOI ID 10.34808/sb8g-tm87 open in new tab
- Series:
- Verified by:
- Gdańsk University of Technology
Keywords
References
- publication The Effect of Varying the Light Spectrum of a Scene on the Localisation of Photogrammetric Features
Cite as
Authors
seen 124 times