WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation
Fisheye cameras are increasingly adopted in robotics for near-field manipulation, navigation, and immersive perception, yet indoor depth benchmarks with accurate ground truth are still missing. To address this, we introduce WideDepth - the first indoor dataset for fisheye depth estimation, featuring 101 scenes containing 5K high-resolution stereo pairs labeled with millimeter-level ground truth depth and disparity. Our dataset also includes paired pinhole and fisheye samples across varying fields of view and baselines in both horizontal and vertical stereo setups. We further propose a method to adapt pinhole-trained stereo models to fisheye images and introduce a novel stereo fisheye imag...
| Authors | Ilia Indyk, Ignat Penshin, Ivan Sosin et al. |
|---|---|
| Primary category | cs.CV |
| Published | 22 May 2026 |
| Last updated at source | 22 May 2026 |
Models and datasets referencing this paper
- Voxel51/widedepthDataset
- IlyaInd/WideDepthDataset
- IlyaInd/WideDepth-trainDataset
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