TY - GEN
T1 - Multi-view structure computation without explicitly estimating motion
AU - Li, Hongdong
PY - 2010
Y1 - 2010
N2 - Most existing structure-from-motion methods follow a common two-step scheme, where relative camera motions are estimated in the first step and 3D structure is computed afterward in the second step. This paper presents a novel scheme which bypasses the motion-estimation step, and goes directly to structure computation step. By introducing graph rigidity theory to Sfm problems, we demonstrate that such a scheme is not only theoretically possible, but also technically feasible and effective. We also derive a new convex relaxation technique (based on semi-definite programming) which implements the above scheme very efficiently. Our new method provides other benefits as well, such as that it offers a new way to looking at Sfm, and that it is naturally suited for handling sparse large-scale Sfm problems.
AB - Most existing structure-from-motion methods follow a common two-step scheme, where relative camera motions are estimated in the first step and 3D structure is computed afterward in the second step. This paper presents a novel scheme which bypasses the motion-estimation step, and goes directly to structure computation step. By introducing graph rigidity theory to Sfm problems, we demonstrate that such a scheme is not only theoretically possible, but also technically feasible and effective. We also derive a new convex relaxation technique (based on semi-definite programming) which implements the above scheme very efficiently. Our new method provides other benefits as well, such as that it offers a new way to looking at Sfm, and that it is naturally suited for handling sparse large-scale Sfm problems.
UR - http://www.scopus.com/inward/record.url?scp=77955996295&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2010.5540005
DO - 10.1109/CVPR.2010.5540005
M3 - Conference contribution
SN - 9781424469840
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 2777
EP - 2784
BT - 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
T2 - 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
Y2 - 13 June 2010 through 18 June 2010
ER -