7 papers
DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion
Sithu Aung, Viktor Kocur, Yaqing Ding +2
Global Structure-from-Motion (SfM) is an efficient paradigm for recovering camera poses and sparse 3D structure from unordered images. However, its reliance on scale-ambiguous epip…
Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
Viktor Kocur, Sithu Aung, Gabrielle Flood +4
Monocular depth estimation has improved significantly in recent years, driven by increasingly powerful models and large-scale training data. Predicted depth is increasingly used as…
Pointing-Based Object Recognition
Lukáš Hajdúch, Viktor Kocur
This paper presents a comprehensive pipeline for recognizing objects targeted by human pointing gestures using RGB images. As human-robot interaction moves toward more intuitive in…
Billboard in Focus: Estimating Driver Gaze Duration from a Single Image
Carlos Pizarroso, Zuzana Berger Haladová, Zuzana Äerneková +1
Roadside billboards represent a central element of outdoor advertising, yet their presence may contribute to driver distraction and accident risk. This study introduces a fully aut…
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…
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…