3 papers
eess.IV2026
Depth from Dual Differential Defocus and Stereo Consensus
Junjie Luo, Wei Xu, Dylan Chu +2
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 exten…
cs.CV2026
Non-Learning Low-Light Stereo Vision
Jason Wang, Lucas Nguyen, Hyunseung Eom +2
We present a non-learning stereo framework for disparity estimation from severely noisy images. Using the Field of Junctions (FoJ), it retains coarse visual features stable under s…
cs.CV2025
Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries
Wei Xu, Charles James Wagner, Junjie Luo +1
Extracting depth information from photon-limited, defocused images is challenging because depth from defocus (DfD) relies on accurate estimation of defocus blur, which is fundament…