Computer Vision News - February 2021

15 Tobias Würfl The geometry artifacts can be solved by estimating the system geometry image- based, similar to SfM algorithms in Computer Vision. However, the key challenge in CBCT is that point correspondences are extremely hard to establish. Therefore, I developed a method to estimate the fundamental matrix without point correspondences. The fundamental matrix can then be used as input to a SfM method. Follow the links for the full paper on fundamental matrix estimation and the work on beam hardening compensation or my thesis.