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20162024
most citedAbsolute Pose Estimation from Line Correspondences using Direct Linear Transformation

80 citations · 118 across the 8 of their papers we have counts for

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cs.CV2023

Estimating Extreme 3D Image Rotation with Transformer Cross-Attention

Shay Dekel, Yosi Keller, Martin Cadik

The estimation of large and extreme image rotation plays a key role in multiple computer vision domains, where the rotated images are related by a limited or a non-overlapping fiel…

cs.CV2021

Resource Efficient Mountainous Skyline Extraction using Shallow Learning

Touqeer Ahmad, Ebrahim Emami, Martin Čadík +1

Skyline plays a pivotal role in mountainous visual geo-localization and localization/navigation of planetary rovers/UAVs and virtual/augmented reality applications. We present a no…

cs.CV2018

Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection

Touqeer Ahmad, Pavel Campr, Martin Čadík +1

Horizon or skyline detection plays a vital role towards mountainous visual geo-localization, however most of the recently proposed visual geo-localization approaches rely on \textb…

cs.CV2016★ 27 cited

Camera Pose Estimation from Lines using Plücker Coordinates

Bronislav Přibyl, Pavel Zemčík, Martin Čadík

Correspondences between 3D lines and their 2D images captured by a camera are often used to determine position and orientation of the camera in space. In this work, we propose a no…

cs.CV2016★ 80 cited

Absolute Pose Estimation from Line Correspondences using Direct Linear Transformation

Bronislav Přibyl, Pavel Zemčík, Martin Čadík

This work is concerned with camera pose estimation from correspondences of 3D/2D lines, i. e. with the Perspective-n-Line (PnL) problem. We focus on large line sets, which can be e…

cs.CV2016★ 3 cited

Camera Elevation Estimation from a Single Mountain Landscape Photograph

Martin Cadik, Jan Vasicek, Michal Hradis +2

This work addresses the problem of camera elevation estimation from a single photograph in an outdoor environment. We introduce a new benchmark dataset of one-hundred thousand imag…