Details
| Original language | English |
|---|---|
| Pages (from-to) | 1057-1064 |
| Number of pages | 8 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 41 |
| Issue number | B1 |
| Publication status | Published - 6 Jun 2016 |
| Event | 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016 - Prague, Czech Republic Duration: 12 Jul 2016 → 19 Jul 2016 |
Abstract
A hybrid bundle adjustment is presented that allows for the integration of a generalised building model into the pose estimation of image sequences. These images are captured by an Unmanned Aerial System (UAS) equipped with a camera flying in between the buildings. The relation between the building model and the images is described by distances between the object coordinates of the tie points and building model planes. Relations are found by a simple 3D distance criterion and are modelled as fictitious observations in a Gauss-Markov adjustment. The coordinates of model vertices are part of the adjustment as directly observed unknowns which allows for changes in the model. Results of first experiments using a synthetic and a real image sequence demonstrate improvements of the image orientation in comparison to an adjustment without the building model, but also reveal limitations of the current state of the method.
Keywords
- Building model, Hybrid bundle adjustment, Pose estimation, UAS, Unmanned aerial system, hybrid bundle adjustment, pose estimation, building model, unmanned aerial system
ASJC Scopus subject areas
- Social Sciences(all)
- Geography, Planning and Development
- Computer Science(all)
- Information Systems
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 41, No. B1, 06.06.2016, p. 1057-1064.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - INTEGRATION OF A GENERALISED BUILDING MODEL INTO THE POSE ESTIMATION OF UAS IMAGES
AU - Unger, J.
AU - Rottensteiner, F.
AU - Heipke, C.
N1 - Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/6/6
Y1 - 2016/6/6
N2 - A hybrid bundle adjustment is presented that allows for the integration of a generalised building model into the pose estimation of image sequences. These images are captured by an Unmanned Aerial System (UAS) equipped with a camera flying in between the buildings. The relation between the building model and the images is described by distances between the object coordinates of the tie points and building model planes. Relations are found by a simple 3D distance criterion and are modelled as fictitious observations in a Gauss-Markov adjustment. The coordinates of model vertices are part of the adjustment as directly observed unknowns which allows for changes in the model. Results of first experiments using a synthetic and a real image sequence demonstrate improvements of the image orientation in comparison to an adjustment without the building model, but also reveal limitations of the current state of the method.
AB - A hybrid bundle adjustment is presented that allows for the integration of a generalised building model into the pose estimation of image sequences. These images are captured by an Unmanned Aerial System (UAS) equipped with a camera flying in between the buildings. The relation between the building model and the images is described by distances between the object coordinates of the tie points and building model planes. Relations are found by a simple 3D distance criterion and are modelled as fictitious observations in a Gauss-Markov adjustment. The coordinates of model vertices are part of the adjustment as directly observed unknowns which allows for changes in the model. Results of first experiments using a synthetic and a real image sequence demonstrate improvements of the image orientation in comparison to an adjustment without the building model, but also reveal limitations of the current state of the method.
KW - Building model
KW - Hybrid bundle adjustment
KW - Pose estimation
KW - UAS
KW - Unmanned aerial system
KW - hybrid bundle adjustment
KW - pose estimation
KW - building model
KW - unmanned aerial system
UR - http://www.scopus.com/inward/record.url?scp=84987880414&partnerID=8YFLogxK
U2 - 10.5194/isprsarchives-XLI-B1-1057-2016
DO - 10.5194/isprsarchives-XLI-B1-1057-2016
M3 - Conference article
AN - SCOPUS:84987880414
VL - 41
SP - 1057
EP - 1064
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
IS - B1
T2 - 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016
Y2 - 12 July 2016 through 19 July 2016
ER -