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Analysis of mobile laser scanning data and multi-view image reconstruction

Christian Briese, Gerald Zach, Geert Verhoeven UGent, Camillo Ressl, Andreas Ullrich, Nikolaus Studnicka and Michael Doneus (2012) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XXXIX-B5. p.163-168
abstract
The combination of laser scanning (LS, active, direct 3D measurement of the object surface) and photogrammetry (high geometric and radiometric resolution) is widely applied for object reconstruction (e.g. architecture, topography, monitoring, archaeology). Usually the results are a coloured point cloud or a textured mesh. The geometry is typically generated from the laser scanning point cloud and the radiometric information is the result of image acquisition. In the last years, next to significant developments in static (terrestrial LS) and kinematic LS (airborne and mobile LS) hardware and software, research in computer vision and photogrammetry lead to advanced automated procedures in image orientation and image matching. These methods allow a highly automated generation of 3D geometry just based on image data. Founded on advanced feature detector techniques (like SIFT (Scale Invariant Feature Transform)) very robust techniques for image orientation were established (cf. Bundler). In a subsequent step, dense multi-view stereo reconstruction algorithms allow the generation of very dense 3D point clouds that represent the scene geometry (cf. Patch-based Multi-View Stereo (PMVS2)). Within this paper the usage of mobile laser scanning (MLS) and simultaneously acquired image data for an advanced integrated scene reconstruction is studied. For the analysis the geometry of a scene is generated by both techniques independently. Then, the paper focuses on the quality assessment of both techniques. This includes a quality analysis of the individual surface models and a comparison of the direct georeferencing of the images using positional and orientation data of the on board GNSS-INS system and the indirect georeferencing of the imagery by automatic image orientation. For the practical evaluation a dataset from an archaeological monument is utilised. Based on the gained knowledge a discussion of the results is provided and a future strategy for the integration of both techniques is proposed.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
Laser scanning, Heidentor, Georeferencing, Computer vision, Carnuntum, Mobile laser scanning, 3D, PhotoScan
in
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
volume
XXXIX-B5
pages
163 - 168
publisher
ISPRS
conference name
XXII Congress of the International Society for Photogrammetry and Remote Sensing (ARSPC - 2012)
conference location
Melbourne, Australia
conference start
2012-08-25
conference end
2012-09-01
DOI
10.5194/isprsarchives-XXXIX-B5-163-2012
language
English
UGent publication?
yes
classification
C1
copyright statement
I have retained and own the full copyright for this publication
id
2987600
handle
http://hdl.handle.net/1854/LU-2987600
date created
2012-09-16 10:24:08
date last changed
2012-09-20 10:59:20
@inproceedings{2987600,
  abstract     = {The combination of laser scanning (LS, active, direct 3D measurement of the object surface) and photogrammetry (high geometric and radiometric resolution) is widely applied for object reconstruction (e.g. architecture, topography, monitoring, archaeology). Usually the results are a coloured point cloud or a textured mesh. The geometry is typically generated from the laser scanning point cloud and the radiometric information is the result of image acquisition. In the last years, next to significant developments in static (terrestrial LS) and kinematic LS (airborne and mobile LS) hardware and software, research in computer vision and photogrammetry lead to advanced automated procedures in image orientation and image matching. These methods allow a highly automated generation of 3D geometry just based on image data. Founded on advanced feature detector techniques (like SIFT (Scale Invariant Feature Transform)) very robust techniques for image orientation were established (cf. Bundler). In a subsequent step, dense multi-view stereo reconstruction algorithms allow the generation of very dense 3D point clouds that represent the scene geometry (cf. Patch-based Multi-View Stereo (PMVS2)). Within this paper the usage of mobile laser scanning (MLS) and simultaneously acquired image data for an advanced integrated scene reconstruction is studied. For the analysis the geometry of a scene is generated by both techniques independently. Then, the paper focuses on the quality assessment of both techniques. This includes a quality analysis of the individual surface models and a comparison of the direct georeferencing of the images using positional and orientation data of the on board GNSS-INS system and the indirect georeferencing of the imagery by automatic image orientation. For the practical evaluation a dataset from an archaeological monument is utilised. Based on the gained knowledge a discussion of the results is provided and a future strategy for the integration of both techniques is proposed.},
  author       = {Briese, Christian and Zach, Gerald and Verhoeven, Geert and Ressl, Camillo and Ullrich, Andreas and Studnicka, Nikolaus and Doneus, Michael},
  booktitle    = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  keyword      = {Laser scanning,Heidentor,Georeferencing,Computer vision,Carnuntum,Mobile laser scanning,3D,PhotoScan},
  language     = {eng},
  location     = {Melbourne, Australia},
  pages        = {163--168},
  publisher    = {ISPRS},
  title        = {Analysis of mobile laser scanning data and multi-view image reconstruction},
  url          = {http://dx.doi.org/10.5194/isprsarchives-XXXIX-B5-163-2012},
  volume       = {XXXIX-B5},
  year         = {2012},
}

Chicago
Briese, Christian, Gerald Zach, Geert Verhoeven, Camillo Ressl, Andreas Ullrich, Nikolaus Studnicka, and Michael Doneus. 2012. “Analysis of Mobile Laser Scanning Data and Multi-view Image Reconstruction.” In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIX-B5:163–168. ISPRS.
APA
Briese, C., Zach, G., Verhoeven, G., Ressl, C., Ullrich, A., Studnicka, N., & Doneus, M. (2012). Analysis of mobile laser scanning data and multi-view image reconstruction. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. XXXIX-B5, pp. 163–168). Presented at the XXII Congress of the International Society for Photogrammetry and Remote Sensing (ARSPC - 2012), ISPRS.
Vancouver
1.
Briese C, Zach G, Verhoeven G, Ressl C, Ullrich A, Studnicka N, et al. Analysis of mobile laser scanning data and multi-view image reconstruction. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. ISPRS; 2012. p. 163–8.
MLA
Briese, Christian, Gerald Zach, Geert Verhoeven, et al. “Analysis of Mobile Laser Scanning Data and Multi-view Image Reconstruction.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXIX-B5. ISPRS, 2012. 163–168. Print.