4 papers · 1 filter
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…
Focal Split: Untethered Snapshot Depth from Differential Defocus
Junjie Luo, John Mamish, Alan Fu +4
We introduce Focal Split, a handheld, snapshot depth camera with fully onboard power and computing based on depth-from-differential-defocus (DfDD). Focal Split is passive, avoiding…
Depth from Coupled Optical Differentiation
Junjie Luo, Yuxuan Liu, Emma Alexander +1
We propose depth from coupled optical differentiation, a low-computation passive-lighting 3D sensing mechanism. It is based on our discovery that per-pixel object distance can be r…
CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural Networks
Wei Xu, Junjie Luo, Qi Guo
We present CT-Bound, a robust and fast boundary detection method for very noisy images using a hybrid Convolution and Transformer neural network. The proposed architecture decompos…