<ul><li>DFI-OmniStereo is a novel omnidirectional stereo matching method that leverages a pre-trained depth foundation model for accurate depth estimation.</li><li>Omnidirectional depth perception is essential for mobile robotics applications, and camera-based setups provide a cost-effective solution.</li><li>Existing omnidirectional stereo matching approaches face limitations in accuracy due to the lack of real-world data.</li><li>DFI-OmniStereo achieves state-of-the-art results on the real-world Helvipad dataset, significantly reducing disparity mean absolute error (MAE) compared to previous methods.</li></ul>

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model

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