Academic Bibliography

 Search 200 years of publications by Ghent University researchers.
Advanced search
1 file | 1.13 MB
Add to list
  1. Search results
  2. Good vibrations? How image stabilisat...

Good vibrations? How image stabilisation influences photogrammetry

Erica Nocerino, Fabio Menna and Geert Verhoeven (UGent)
(2022) International Workshop 3D-ARCH, 9th, Proceedings. In The international archives of the photogrammetry, remote sensing and spatial information sciences = Archives internationales des sciences de la photogrammétrie, de la télédétection et de l'information spatiale XLVI-2/W1-2022. p.395-400
Author
Organization
Abstract
Image stabilisation (IS) is a family of approaches whose aim is to reduce motion blur in still images and shaking effect in video frames. A variety of techniques are currently implemented in cameras and camcorders: some involve hardware solutions, other are software approaches. In general, IS for still photography entails hardware in-camera or in-lens solutions. Video stabilisation, on the other hand, can be accomplished with software algorithms, either in real-time within the camera or in post-processing.Whereas IS aids photography and video making, its influence on the photogrammetric 3D modelling process has not been investigated. This article addresses this aspect. To this purpose, several laboratory and real-world tests were carried out, whose results showed that IS must be disabled when accuracy matters in photogrammetric projects. Details are provided in the manuscript.
Keywords
IBM (Image-Based Modelling), Image stabilisation, INDIGO, Interior orientation, Motion blur, PCV (Photogrammetric Computer Vision), Vibration reduction

Downloads

  • Download
    Nocerino e.a. 2022 - Good vibrations How image stabilisation influences photogrammetry.pdf
    • full text (Published version)
    • |
    • open access
    • |
    • PDF
    • |
    • 1.13 MB

Citation

Please use this url to cite or link to this publication:

MLA
Nocerino, Erica, et al. “Good Vibrations? How Image Stabilisation Influences Photogrammetry.” International Workshop 3D-ARCH, 9th, Proceedings, edited by L. Fregonese et al., vol. XLVI-2/W1-2022, ISPRS, 2022, pp. 395–400, doi:10.5194/isprs-archives-xlvi-2-w1-2022-395-2022.
APA
Nocerino, E., Menna, F., & Verhoeven, G. (2022). Good vibrations? How image stabilisation influences photogrammetry. In L. Fregonese, F. Fassi, & F. Remondino (Eds.), International Workshop 3D-ARCH, 9th, Proceedings: Vol. XLVI-2/W1-2022 (pp. 395–400). https://doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-395-2022
Chicago author-date
Nocerino, Erica, Fabio Menna, and Geert Verhoeven. 2022. “Good Vibrations? How Image Stabilisation Influences Photogrammetry.” In International Workshop 3D-ARCH, 9th, Proceedings, edited by L. Fregonese, F. Fassi, and F. Remondino, XLVI-2/W1-2022:395–400. ISPRS. https://doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-395-2022.
Chicago author-date (all authors)
Nocerino, Erica, Fabio Menna, and Geert Verhoeven. 2022. “Good Vibrations? How Image Stabilisation Influences Photogrammetry.” In International Workshop 3D-ARCH, 9th, Proceedings, ed by. L. Fregonese, F. Fassi, and F. Remondino, XLVI-2/W1-2022:395–400. ISPRS. doi:10.5194/isprs-archives-xlvi-2-w1-2022-395-2022.
Vancouver
1.
Nocerino E, Menna F, Verhoeven G. Good vibrations? How image stabilisation influences photogrammetry. In: Fregonese L, Fassi F, Remondino F, editors. International Workshop 3D-ARCH, 9th, Proceedings. ISPRS; 2022. p. 395–400.
IEEE
[1]
E. Nocerino, F. Menna, and G. Verhoeven, “Good vibrations? How image stabilisation influences photogrammetry,” in International Workshop 3D-ARCH, 9th, Proceedings, Mantova, Italy, 2022, vol. XLVI-2/W1-2022, pp. 395–400.
@inproceedings{8743007,
  abstract     = {{Image stabilisation (IS) is a family of approaches whose aim is to reduce motion blur in still images and shaking effect in video frames. A variety of techniques are currently implemented in cameras and camcorders: some involve hardware solutions, other are software approaches. In general, IS for still photography entails hardware in-camera or in-lens solutions. Video stabilisation, on the other hand, can be accomplished with software algorithms, either in real-time within the camera or in post-processing.Whereas IS aids photography and video making, its influence on the photogrammetric 3D modelling process has not been investigated. This article addresses this aspect. To this purpose, several laboratory and real-world tests were carried out, whose results showed that IS must be disabled when accuracy matters in photogrammetric projects. Details are provided in the manuscript.}},
  author       = {{Nocerino, Erica and Menna, Fabio and Verhoeven, Geert}},
  booktitle    = {{International Workshop 3D-ARCH, 9th, Proceedings}},
  editor       = {{Fregonese, L. and Fassi, F. and Remondino, F.}},
  issn         = {{1682-1750}},
  keywords     = {{IBM (Image-Based Modelling),Image stabilisation,INDIGO,Interior orientation,Motion blur,PCV (Photogrammetric Computer Vision),Vibration reduction}},
  language     = {{eng}},
  location     = {{Mantova, Italy}},
  pages        = {{395--400}},
  publisher    = {{ISPRS}},
  title        = {{Good vibrations? How image stabilisation influences photogrammetry}},
  url          = {{http://dx.doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-395-2022}},
  volume       = {{XLVI-2/W1-2022}},
  year         = {{2022}},
}
Altmetric
View in Altmetric