We are pleased to announce the launch of our latest research initiative focusing on automated horizon line detection. Accurate horizon estimation is a fundamental challenge in computer vision, playing a critical role in autonomous navigation, attitude estimation, and image stabilization for both aerial and maritime platforms. Students are developing robust algorithms designed to perform reliably under diverse environmental conditions. You can find an initial demonstration of our progress in the video below, which showcases our preliminary detection results in real-time scenarios.

You can view preliminary results from recordings made on the streets of Budapest by clicking here. Horizon lines are estimated via vanishing points.

Video created by Márton Koós.

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Awards from NJSZT KÉPAF Conference

We are proud to announce that members of our research group won two awards at KEPAF 2025 – 15th Conference of the Hungarian Association for Image Analysis and Pattern Recognition.

Fast Surface Normal Estimation from Affine Transformations

We have a novel paper, accepted for ICCV2023. Authors: Levente Hajder, Lajos Lóczi, Daniel Barath Abstract We present a new solver for estimating a surface normal from a single affine

Videótár

Önvezető rendszerek fejlesztése az ELTE Informatikai Karán – Nyílt Nap 2023.01.20. Computer Vision Research at the ELTE Faculty of Informatics GCVG bemutatkozó videó Relative planar motion for vehicle-mounted cameras from