Horizon Line Estimation
6 papers with code • 4 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Horizon Line Estimation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
|||||
|
KITTI
York Urban Line Segment Database
Latest papers
Temporally Consistent Horizon Lines
fkluger/tchl
•
•
The horizon line is an important geometric feature for many image processing and scene understanding tasks in computer vision.
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
vislearn/ngransac
•
•
ICCV 2019
In contrast, we learn hypothesis search in a principled fashion that lets us optimize an arbitrary task loss during training, leading to large improvements on classic computer vision tasks.
A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws
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.
Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection
yanconglin/vanishingpoint_houghtransform_gaussiansphere
•
•
We present a novel approach for vanishing point detection from uncalibrated monocular images.
Detecting Vanishing Points using Global Image Context in a Non-Manhattan World
Our method reverses this process: we propose a set of horizon line candidates and score each based on the vanishing points it contains.
Horizon Lines in the Wild
The horizon line is an important contextual attribute for a wide variety of image understanding tasks.
