TY - GEN
T1 - Minimal solvers for 3D geometry from satellite imagery
AU - Zheng, Enliang
AU - Wang, Ke
AU - Dunn, Enrique
AU - Frahm, Jan Michael
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/2/17
Y1 - 2015/2/17
N2 - We propose two novel minimal solvers which advance the state of the art in satellite imagery processing. Our methods are efficient and do not rely on the prior existence of complex inverse mapping functions to correlate 2D image coordinates and 3D terrain. Our first solver improves on the stereo correspondence problem for satellite imagery, in that we provide an exact image-to-object space mapping (where prior methods were inaccurate). Our second solver provides a novel mechanism for 3D point triangulation, which has improved robustness and accuracy over prior techniques. Given the usefulness and ubiquity of satellite imagery, our proposed methods allow for improved results in a variety of existing and future applications.
AB - We propose two novel minimal solvers which advance the state of the art in satellite imagery processing. Our methods are efficient and do not rely on the prior existence of complex inverse mapping functions to correlate 2D image coordinates and 3D terrain. Our first solver improves on the stereo correspondence problem for satellite imagery, in that we provide an exact image-to-object space mapping (where prior methods were inaccurate). Our second solver provides a novel mechanism for 3D point triangulation, which has improved robustness and accuracy over prior techniques. Given the usefulness and ubiquity of satellite imagery, our proposed methods allow for improved results in a variety of existing and future applications.
UR - http://www.scopus.com/inward/record.url?scp=84973861543&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973861543&partnerID=8YFLogxK
U2 - 10.1109/ICCV.2015.91
DO - 10.1109/ICCV.2015.91
M3 - Conference contribution
AN - SCOPUS:84973861543
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 738
EP - 746
BT - 2015 International Conference on Computer Vision, ICCV 2015
T2 - 15th IEEE International Conference on Computer Vision, ICCV 2015
Y2 - 11 December 2015 through 18 December 2015
ER -