TY - GEN
T1 - Automatic Alignment of Indoor and Outdoor Building Models Using 3D Line Segments
AU - Koch, Tobias
AU - Korner, Marco
AU - Fraundorfer, Friedrich
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/16
Y1 - 2016/12/16
N2 - This paper presents an approach for automatically aligning the non-overlapping interior and exterior parts of a 3D building model computed from image based 3D reconstructions. We propose a method to align the 3D reconstructions by identifying corresponding 3D structures that are part of the interior and exterior model (e.g. openings like windows). In this context, we point out the potential of using 3D line segments to enrich the information of point clouds generated by SfMs and show how this can be used for interpreting the scene and matching individual reconstructions.
AB - This paper presents an approach for automatically aligning the non-overlapping interior and exterior parts of a 3D building model computed from image based 3D reconstructions. We propose a method to align the 3D reconstructions by identifying corresponding 3D structures that are part of the interior and exterior model (e.g. openings like windows). In this context, we point out the potential of using 3D line segments to enrich the information of point clouds generated by SfMs and show how this can be used for interpreting the scene and matching individual reconstructions.
UR - http://www.scopus.com/inward/record.url?scp=85010218095&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2016.91
DO - 10.1109/CVPRW.2016.91
M3 - Conference contribution
AN - SCOPUS:85010218095
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 689
EP - 697
BT - Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016
PB - IEEE Computer Society
T2 - 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016
Y2 - 26 June 2016 through 1 July 2016
ER -