Details
| Original language | English |
|---|---|
| Pages (from-to) | 73-78 |
| Number of pages | 6 |
| Journal | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Volume | 2 |
| Issue number | 5W2 |
| Publication status | Published - 16 Oct 2013 |
| Event | ISPRS International Workshop on Laser Scanning 2013 - Antalya, Turkey Duration: 11 Nov 2013 → 13 Nov 2013 |
Abstract
Data acquisition via Mobile Mapping systems generates a huge amount of LiDAR as well as image data. Depending on the final application various different visualization schemes are conceivable. This paper presents a multi-layer based visualization method, enabling fast data browsing of mobile mapping data. In contrast to systems like Google Street View the proposed visualization does not base on 360° panoramas, but on colored point clouds projected on partially translucent images. Those images are rendered as overlapping textures, preserving the depth of the recorded data and still enabling fast rendering on any kind of platform. Furthermore the proposed visualization allows the user to inspect the mobile mapping data in a panoramic fashion with an immersive depth illusion using the parallax scrolling technic.
Keywords
- Classification, Laser scanning, Mobile Mapping, Multi-Layer, Parallax Scrolling, Point Cloud, Segmentation, Visualization
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Earth and Planetary Sciences (miscellaneous)
- Environmental Science(all)
- Environmental Science (miscellaneous)
- Physics and Astronomy(all)
- Instrumentation
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In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 2, No. 5W2, 16.10.2013, p. 73-78.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Multi-Layer Visualization of Mobile Mapping Data
AU - Eggert, Daniel
AU - Sester, Monika
PY - 2013/10/16
Y1 - 2013/10/16
N2 - Data acquisition via Mobile Mapping systems generates a huge amount of LiDAR as well as image data. Depending on the final application various different visualization schemes are conceivable. This paper presents a multi-layer based visualization method, enabling fast data browsing of mobile mapping data. In contrast to systems like Google Street View the proposed visualization does not base on 360° panoramas, but on colored point clouds projected on partially translucent images. Those images are rendered as overlapping textures, preserving the depth of the recorded data and still enabling fast rendering on any kind of platform. Furthermore the proposed visualization allows the user to inspect the mobile mapping data in a panoramic fashion with an immersive depth illusion using the parallax scrolling technic.
AB - Data acquisition via Mobile Mapping systems generates a huge amount of LiDAR as well as image data. Depending on the final application various different visualization schemes are conceivable. This paper presents a multi-layer based visualization method, enabling fast data browsing of mobile mapping data. In contrast to systems like Google Street View the proposed visualization does not base on 360° panoramas, but on colored point clouds projected on partially translucent images. Those images are rendered as overlapping textures, preserving the depth of the recorded data and still enabling fast rendering on any kind of platform. Furthermore the proposed visualization allows the user to inspect the mobile mapping data in a panoramic fashion with an immersive depth illusion using the parallax scrolling technic.
KW - Classification
KW - Laser scanning
KW - Mobile Mapping
KW - Multi-Layer
KW - Parallax Scrolling
KW - Point Cloud
KW - Segmentation
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=84924250397&partnerID=8YFLogxK
U2 - 10.5194/isprsannals-II-5-W2-73-2013
DO - 10.5194/isprsannals-II-5-W2-73-2013
M3 - Conference article
AN - SCOPUS:84924250397
VL - 2
SP - 73
EP - 78
JO - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
JF - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
SN - 2194-9042
IS - 5W2
T2 - ISPRS International Workshop on Laser Scanning 2013
Y2 - 11 November 2013 through 13 November 2013
ER -