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

ECCV 2018 Gilles SimonAntoine FondMarie-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 vanishing points on that line, thus reducing false detections... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Horizon Line Estimation Eurasian Cities Dataset V AUC (horizon error) 91.10 # 1
Horizon Line Estimation Horizon Lines in the Wild V AUC (horizon error) 54.43 # 5
Horizon Line Estimation York Urban Dataset V AUC (horizon error) 95.35 # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet