Daniel Barath

Daniel Barath got both his Bachelor and Master degrees in the Eötvös
Loránd University in 2012 and 2014, respectively. He started his Ph.D.
studies in 2014. During his studies, Daniel started working at the
Geometric Modelling Research Laboratory in the Institute for Computer
Science and Control. Now, he is a member of the Machine Perception
Research Laboratory.

From 2017, he also works for the Center of Machine
Perception in the Czech Technical University.  He had his Ph.D. defense
in 2019.

His main research interest is computer vision. His topics are robust
model estimation and the development of minimal solvers in projective
geometry. These two topics fairly rely on each other: robust model
estimation is for understanding the scene from data contaminated by
noise and large-scale measurement errors, i.e., outliers. Minimal
solvers are for being able to understand the scene from as few data as
possible.