Visualization of Mobile Mapping Data via Parallax Scrolling

Visualizing big point-clouds, such as those derived from mobile mapping data, is not an easy task. Therefore many approaches have been proposed, based on either reducing the overall amount of data or the amount of data that is currently displayed to the user. Furthermore, an entirely free navigation...

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Bibliographic Details
Main Authors: D. Eggert, E. C. Schulze
Format: Article
Language:English
Published: Copernicus Publications 2014-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/89/2014/isprsarchives-XL-3-89-2014.pdf
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spelling doaj-e27e61b607de474a9da0cf3ab8cf21bf2020-11-24T21:17:41ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342014-08-01XL-3899410.5194/isprsarchives-XL-3-89-2014Visualization of Mobile Mapping Data via Parallax ScrollingD. Eggert0E. C. Schulze1Institute of Cartography and Geoinformatics, Leibniz Universität Hannover, Hanover, GermanyInstitute of Cartography and Geoinformatics, Leibniz Universität Hannover, Hanover, GermanyVisualizing big point-clouds, such as those derived from mobile mapping data, is not an easy task. Therefore many approaches have been proposed, based on either reducing the overall amount of data or the amount of data that is currently displayed to the user. Furthermore, an entirely free navigation within such a point-cloud is also not always intuitive using the usual input devices. This work proposes a visualization scheme for massive mobile mapping data inspired by a multiplane camera model also known as parallax scrolling. This technique, albeit entirely two-dimensional, creates a depth illusion by moving a number of overlapping partially transparent image layers at various speeds. The generation of such layered models from mobile mapping data greatly reduces the amount of data up to about 98 % depending on the used image resolution. Finally, it is well suited for the panoramic-fashioned visualization of the environment of a moving car.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/89/2014/isprsarchives-XL-3-89-2014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. Eggert
E. C. Schulze
spellingShingle D. Eggert
E. C. Schulze
Visualization of Mobile Mapping Data via Parallax Scrolling
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet D. Eggert
E. C. Schulze
author_sort D. Eggert
title Visualization of Mobile Mapping Data via Parallax Scrolling
title_short Visualization of Mobile Mapping Data via Parallax Scrolling
title_full Visualization of Mobile Mapping Data via Parallax Scrolling
title_fullStr Visualization of Mobile Mapping Data via Parallax Scrolling
title_full_unstemmed Visualization of Mobile Mapping Data via Parallax Scrolling
title_sort visualization of mobile mapping data via parallax scrolling
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2014-08-01
description Visualizing big point-clouds, such as those derived from mobile mapping data, is not an easy task. Therefore many approaches have been proposed, based on either reducing the overall amount of data or the amount of data that is currently displayed to the user. Furthermore, an entirely free navigation within such a point-cloud is also not always intuitive using the usual input devices. This work proposes a visualization scheme for massive mobile mapping data inspired by a multiplane camera model also known as parallax scrolling. This technique, albeit entirely two-dimensional, creates a depth illusion by moving a number of overlapping partially transparent image layers at various speeds. The generation of such layered models from mobile mapping data greatly reduces the amount of data up to about 98 % depending on the used image resolution. Finally, it is well suited for the panoramic-fashioned visualization of the environment of a moving car.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/89/2014/isprsarchives-XL-3-89-2014.pdf
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AT ecschulze visualizationofmobilemappingdataviaparallaxscrolling
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