deephorizon

DeepHorizon is a computer vision system that predicts horizon lines from single images, which is crucial for understanding scene geometry and orientation in outdoor environments. It provides robust estimation even in challenging conditions with complex terrain, occlusions, and varied lighting.

Key Features

• Deep Learning Models — Pre-trained convolutional neural networks specifically designed for horizon line estimation
• Single Image Processing — Works with individual images without requiring video sequences or multiple viewpoints
• Outdoor Scene Robustness — Trained on diverse 'in the wild' datasets to handle real-world complexity
• Research Implementation — Includes model files, solver definitions, and learned weights from the published BMVC 2016 paper

Philosophy

The project emphasizes practical applicability by training models on real-world outdoor scenes rather than controlled environments, enabling more reliable horizon estimation across diverse conditions.