Mind your grey tones - examining the influence of decolourization methods on interest point extraction and matching for architectural image-based modelling

Conference paper

Geert J. Verhoeven, Wilfried Karel, Seta Štuhec, Michael Doneus, Immo Trinks, Norbert Pfeifer
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5/W4, 2015, pp. 307-314

DOI: 10.5194/isprsarchives-XL-5-W4-307-2015

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APA Click to copy
Verhoeven, G. J., Karel, W., Štuhec, S., Doneus, M., Trinks, I., & Pfeifer, N. (2015). Mind your grey tones - examining the influence of decolourization methods on interest point extraction and matching for architectural image-based modelling. In ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. XL-5/W4, pp. 307–314). https://doi.org/10.5194/isprsarchives-XL-5-W4-307-2015

Chicago/Turabian Click to copy
Verhoeven, Geert J., Wilfried Karel, Seta Štuhec, Michael Doneus, Immo Trinks, and Norbert Pfeifer. “Mind Your Grey Tones - Examining the Influence of Decolourization Methods on Interest Point Extraction and Matching for Architectural Image-Based Modelling.” In ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-5/W4:307–314, 2015.

MLA Click to copy
Verhoeven, Geert J., et al. “Mind Your Grey Tones - Examining the Influence of Decolourization Methods on Interest Point Extraction and Matching for Architectural Image-Based Modelling.” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL-5/W4, 2015, pp. 307–14, doi:10.5194/isprsarchives-XL-5-W4-307-2015.

BibTeX Click to copy

@inproceedings{verhoeven2015a,
  title = {Mind your grey tones - examining the influence of decolourization methods on interest point extraction and matching for architectural image-based modelling},
  year = {2015},
  journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  pages = {307-314},
  volume = {XL-5/W4},
  doi = {10.5194/isprsarchives-XL-5-W4-307-2015},
  author = {Verhoeven, Geert J. and Karel, Wilfried and Štuhec, Seta and Doneus, Michael and Trinks, Immo and Pfeifer, Norbert}
}

Abstract
This paper investigates the use of different greyscale conversion algorithms to decolourize colour images as input for two Structure-from-Motion (SfM) software packages. Although SfM software commonly works with a wide variety of frame imagery (old and new, colour and greyscale, airborne and terrestrial, large-and small scale), most programs internally convert the source imagery to single-band, greyscale images. This conversion is often assumed to have little, if any, impact on the final outcome.
To verify this assumption, this article compares the output of an academic and a commercial SfM software package using seven different collections of architectural images. Besides the conventional 8-bit true-colour JPEG images with embedded sRGB colour profiles, for each of those datasets, 57 greyscale variants were computed with different colour-to-greyscale algorithms. The success rate of specific colour conversion approaches can therefore be compared with the commonly implemented colour-to-greyscale algorithms (luma Y’601, luma Y’709, or luminance CIE Y), both in terms of the applied feature extractor as well as of the specific image content (as exemplified by the two different feature descriptors and the various image collections, respectively).
Although the differences can be small, the results clearly indicate that certain colour-to-greyscale conversion algorithms in an SfM-workflow constantly perform better than others. Overall, one of the best performing decolourization algorithms turns out to be a newly developed one.

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Web of Science Identifier: 000368440600041

Geert J. Verhoeven

Mind your grey tones - examining the influence of decolourization methods on interest point extraction and matching for architectural image-based modelling

Conference paper

Cite

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