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Horizon Line Estimation

5 papers with code · Computer Vision

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Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses

ICCV 2019 vislearn/ngransac

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.

HORIZON LINE ESTIMATION

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

CVPR 2016 viibridges/gc-horizon-detector

Our method reverses this process: we propose a set of horizon line candidates and score each based on the vanishing points it contains.

HORIZON LINE ESTIMATION

Horizon Lines in the Wild

7 Apr 2016scottworkman/deephorizon

The horizon line is an important contextual attribute for a wide variety of image understanding tasks.

#2 best model for Horizon Line Estimation on Horizon Lines in the Wild (using extra training data)

HORIZON LINE ESTIMATION

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

ECCV 2018 alexvonduar/V

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.

HORIZON LINE ESTIMATION