10.9k citations
- University of LiverpoolGB479 papers
- National and Kapodistrian University of AthensGR473 papers
- Yale UniversityUS472 papers
- Lawrence Berkeley National LaboratoryUS471 papers
- The Ohio State UniversityUS471 papers
- University of TsukubaJP468 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT455 papers
- Slovak Academy of SciencesSK443 papers
- Czech Technical University in PragueCZ438 papers
- University of OxfordGB426 papers
- University College LondonGB425 papers
- European Organization for Nuclear ResearchCH424 papers
15 papers · 1 filter
Efficient Vision-based Vehicle Speed Estimation
Andrej Macko, Lukáš Gajdošech, Viktor Kocur
This paper presents a computationally efficient method for vehicle speed estimation from traffic camera footage. Building upon previous work that utilizes 3D bounding boxes derived…
A method for estimating roadway billboard salience
Zuzana Berger Haladova, Michal Zrubec, Zuzana Cernekova
Roadside billboards and other forms of outdoor advertising play a crucial role in marketing initiatives; however, they can also distract drivers, potentially contributing to accide…
Three-view Focal Length Recovery From Homographies
Yaqing Ding, Viktor Kocur, Zuzana Berger Haladová +4
In this paper, we propose a novel approach for recovering focal lengths from three-view homographies. By examining the consistency of normal vectors between two homographies, we de…
On Representation of 3D Rotation in the Context of Deep Learning
Viktória Pravdová, Lukáš Gajdošech, Hassan Ali +1
This paper investigates various methods of representing 3D rotations and their impact on the learning process of deep neural networks. We evaluated the performance of ResNet18 netw…
Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?
Charalambos Tzamos, Viktor Kocur, Yaqing Ding +2
Estimating the relative pose between two cameras is a fundamental step in many applications such as Structure-from-Motion. The common approach to relative pose estimation is to app…
Enhancement of 3D Camera Synthetic Training Data with Noise Models
Katarína Osvaldová, Lukáš Gajdošech, Viktor Kocur +1
The goal of this paper is to assess the impact of noise in 3D camera-captured data by modeling the noise of the imaging process and applying it on synthetic training data. We compi…