Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging

ICCV 2019 Tobias Wurfl Andre Aichert Nicole Maass Frank Dennerlein Andreas Maier

We present a general method to estimate the fundamental matrix from a pair of images under perspective projection without the need for image point correspondences. Our method is particularly well-suited for transmission imaging, where state-of-the-art feature detection and matching approaches generally do not perform well... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.