Title :
Multi-view structure computation without explicitly estimating motion
Author_Institution :
NICTA, Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
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.
Keywords :
convex programming; graph theory; image motion analysis; relaxation theory; Sfm problem; convex relaxation; graph rigidity theory; multiview structure computation; semidefinite programming; structure computation step; structure-from-motion method; Application software; Australia; Cameras; Computational geometry; Computer vision; Equations; Large-scale systems; Layout; Motion estimation; Tensile stress;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-6984-0
DOI :
10.1109/CVPR.2010.5540005