Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1
An Algebraic Approach to Surface Reconstruction from Gradient Fields
Beijing, China
October 17-October 20
ISBN: 0-7695-2334-X
Several important problems in computer vision such as Shape from Shading (SFS) and Photometric Stereo (PS) require reconstructing a surface from an estimated gradient field, which is usually non-integrable, i.e. have non-zero curl. We propose a purely algebraic approach to enforce integrability in discrete domain. We first show that enforcing integrability can be formulated as solving a single linear system Ax = b over the image. In general, this system is under-determined. We show conditions under which the system can be solved and a method to get to those conditions based on graph theory. The proposed approach is non-iterative, has the important property of local error confinement and can be applied to several problems. Results on SFS and PS demonstrate the applicability of our method.
Citation:
Amit Agrawal, Rama Chellappa, Ramesh Raskar, "An Algebraic Approach to Surface Reconstruction from Gradient Fields," iccv, vol. 1, pp.174-181, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005