This paper proposes modeling motion in a bilateral domain that augments spatial information with the motion itself. We use the bilateral domain to reformulate a piecewise smooth constraint as continuous global modeling constraint. The resultant model can be robustly computed from highly noisy scattered feature points using a global minimization. We demonstrate how the model can reliably obtain large numbers of good quality correspondences over wide baselines, while keeping outliers to a minimum. © 2014 Springer International Publishing.
CITATION STYLE
Lin, W. Y. D., Cheng, M. M., Lu, J., Yang, H., Do, M. N., & Torr, P. (2014). Bilateral functions for global motion modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8692 LNCS, pp. 341–356). Springer Verlag. https://doi.org/10.1007/978-3-319-10593-2_23
Mendeley helps you to discover research relevant for your work.