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Papers Horizon Line Estimation

“Horizon Line Estimation” 태그가 달린 논문 7편 · 필터 해제

Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks

2023-06-01 · Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander 외

Computer vision systems that are deployed in safety-critical applications need to quantify their output uncertainty. We study regression from images to parameter values and here it is common to detect uncertainty by pred…

Density EstimationDisparity EstimationHorizon Line EstimationLine Detection+2

Temporally Consistent Horizon Lines

2019-07-23 · Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn

The horizon line is an important geometric feature for many image processing and scene understanding tasks in computer vision. For instance, in navigation of autonomous vehicles or driver assistance, it can be used to im…

3D ReconstructionAutonomous VehiclesHorizon Line EstimationScene Understanding

Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses

2019-05-10 · ICCV 2019 10 · Eric Brachmann, Carsten Rother

We present Neural-Guided RANSAC (NG-RANSAC), an extension to the classic RANSAC algorithm from robust optimization. NG-RANSAC uses prior information to improve model hypothesis search, increasing the chance of finding ou…

Camera LocalizationHorizon Line EstimationVisual Localization

A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws

2018-09-01 · ECCV 2018 9 · Gilles Simon, Antoine Fond, Marie-Odile Berger

We show that, in images of man-made environments, the horizon line can usually be hypothesized based on an a contrario detection of second-order grouping events. This allows constraining the extraction of the horizontal …

Horizon Line EstimationLine Detection

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection

2017-07-08 · Florian Kluger, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn

We present a novel approach for vanishing point detection from uncalibrated monocular images. In contrast to state-of-the-art, we make no a priori assumptions about the observed scene. Our method is based on a convolutio…

Camera CalibrationHorizon Line Estimation

Detecting Vanishing Points using Global Image Context in a Non-Manhattan World

2016-08-19 · CVPR 2016 6 · Menghua Zhai, Scott Workman, Nathan Jacobs

We propose a novel method for detecting horizontal vanishing points and the zenith vanishing point in man-made environments. The dominant trend in existing methods is to first find candidate vanishing points, then remove…

Horizon Line Estimation

Horizon Lines in the Wild

2016-04-07 · Scott Workman, Menghua Zhai, Nathan Jacobs

The horizon line is an important contextual attribute for a wide variety of image understanding tasks. As such, many methods have been proposed to estimate its location from a single image. These methods typically requir…

AttributeHorizon Line Estimation
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