@inproceedings{2fe57e402d024654a947ecb76467d2f1,
title = "A linear least-squares solution to elastic Shape-from-Template",
abstract = "We cast SfT (Shape-from-Template) as the search of a vector field (X, δX), composed of the pose X and the displacement δX that produces the deformation. We propose the first fully linear least-squares SfT method modeling elastic deformations. It relies on a set of Solid Boundary Constraints (SBC) to position the template at X in the deformed frame. The displacement is mapped by the stiffness matrix to minimize the amount of force responsible for the deformation. This linear minimization is subjected to the Reprojection Boundary Constraints (RBC) of the deformed shape X + δX on the deformed image. Compared to state-of-the-art methods, this new formulation allows us to obtain accurate results at a low computation cost.",
author = "Abed Malti and Adrien Bartoli and Richard Hartley",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 ; Conference date: 07-06-2015 Through 12-06-2015",
year = "2015",
month = oct,
day = "14",
doi = "10.1109/CVPR.2015.7298771",
language = "English",
series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",
publisher = "IEEE Computer Society",
pages = "1629--1637",
booktitle = "IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015",
address = "United States",
}