Depth from Dual Differential Defocus and Stereo Consensus
We introduce D^3S Consensus, a physics-based, closed-form algorithm that unifies depth-from-defocus (DfD) and stereo to achieve highly accurate depth estimation throughout an extended working range beyond the depth-of-field (DoF) of cameras. Given a pair of dual-defocus stereo images, the method estimates an overdetermined set of depth using a novel DfD theory, Dual Differential Defocus (D^3), and (S)tereo in a coupled fashion. It then picks the most confident depth prediction from the set by enforcing consensus between these physically independent cues to reject unreliable estimates. Analysis shows that D^3S achieves a comparable working range under the same error tolerance with 10x smal...
| Authors | Junjie Luo, Wei Xu, Dylan Chu et al. |
|---|---|
| Primary category | eess.IV |
| Published | 1 June 2026 |
| Last updated at source | 1 June 2026 |
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