TY - GEN
T1 - Robust plane-based structure from motion
AU - Zhou, Zihan
AU - Jin, Hailin
AU - Ma, Yi
PY - 2012/10/1
Y1 - 2012/10/1
N2 - We introduce a new approach to structure and motion recovery directly from one or more large planes in the scene. When such a plane exists, we demonstrate how to automatically detect and track it robustly and consistently over a long video sequence, and how to efficiently self-calibrate the camera using the homographies induced by this plane. We build a complete structure from motion system which does not use any additional off-the-plane information about the scene, and show its advantage over conventional systems in handling two important issues which often occur in real world videos, namely, the plane degeneracy and the dynamic foreground problems. Experimental results on a variety of real video sequences verify the effectiveness and efficiency of our system.
AB - We introduce a new approach to structure and motion recovery directly from one or more large planes in the scene. When such a plane exists, we demonstrate how to automatically detect and track it robustly and consistently over a long video sequence, and how to efficiently self-calibrate the camera using the homographies induced by this plane. We build a complete structure from motion system which does not use any additional off-the-plane information about the scene, and show its advantage over conventional systems in handling two important issues which often occur in real world videos, namely, the plane degeneracy and the dynamic foreground problems. Experimental results on a variety of real video sequences verify the effectiveness and efficiency of our system.
UR - http://www.scopus.com/inward/record.url?scp=84866667870&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866667870&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2012.6247837
DO - 10.1109/CVPR.2012.6247837
M3 - Conference contribution
AN - SCOPUS:84866667870
SN - 9781467312264
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 1482
EP - 1489
BT - 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
T2 - 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
Y2 - 16 June 2012 through 21 June 2012
ER -