STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES

STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES

In this article a method for reconstructing atmospheric cloud surfaces using a stereo camera system is presented. The proposed camera system utilizes fish-eye lenses in a flexible wide baseline camera setup. The entire workflow from the camera calibration to the creation of the 3D point set is discu...

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Bibliographic Details
Main Authors: G. Katai-Urban, V. Otte, N. Kees, Z. Megyesi, P. S. Bixel
Format: Article
Language:English
Published: Copernicus Publications 2016-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/49/2016/isprs-archives-XLI-B3-49-2016.pdf
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spelling doaj-a430ce8aff7c421bb8f334074967c4d72020-11-24T22:01:14ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B3495610.5194/isprs-archives-XLI-B3-49-2016STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGESG. Katai-Urban0V. Otte1N. Kees2Z. Megyesi3P. S. Bixel4Kecskemet College, Faculty of Mechanical Engineering and Automation, Kecskemet, HungaryTMEIC Corporation, Roanoke, USATMEIC Corporation, Roanoke, USAKecskemet College, Faculty of Mechanical Engineering and Automation, Kecskemet, HungaryTMEIC Corporation, Roanoke, USAIn this article a method for reconstructing atmospheric cloud surfaces using a stereo camera system is presented. The proposed camera system utilizes fish-eye lenses in a flexible wide baseline camera setup. The entire workflow from the camera calibration to the creation of the 3D point set is discussed, but the focus is mainly on cloud segmentation and on the image processing steps of stereo reconstruction. Speed requirements, geometric limitations, and possible extensions of the presented method are also covered. After evaluating the proposed method on artificial cloud images, this paper concludes with results and discussion of possible applications for such systems.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/49/2016/isprs-archives-XLI-B3-49-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author G. Katai-Urban
V. Otte
N. Kees
Z. Megyesi
P. S. Bixel
spellingShingle G. Katai-Urban
V. Otte
N. Kees
Z. Megyesi
P. S. Bixel
STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet G. Katai-Urban
V. Otte
N. Kees
Z. Megyesi
P. S. Bixel
author_sort G. Katai-Urban
title STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES
title_short STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES
title_full STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES
title_fullStr STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES
title_full_unstemmed STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES
title_sort stereo reconstruction of atmospheric cloud surfaces from fish-eye camera images
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2016-06-01
description In this article a method for reconstructing atmospheric cloud surfaces using a stereo camera system is presented. The proposed camera system utilizes fish-eye lenses in a flexible wide baseline camera setup. The entire workflow from the camera calibration to the creation of the 3D point set is discussed, but the focus is mainly on cloud segmentation and on the image processing steps of stereo reconstruction. Speed requirements, geometric limitations, and possible extensions of the presented method are also covered. After evaluating the proposed method on artificial cloud images, this paper concludes with results and discussion of possible applications for such systems.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/49/2016/isprs-archives-XLI-B3-49-2016.pdf
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