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Research map / 3D vision / Depth and stereo

Sparse Multi-Path Corrections in Fringe Projection Profilometry

CVPR 2021 · 3D vision › Depth and stereo · approach: Non-line-of-sight imaging · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use constrained sparse Bayesian learning instead of ℓ1-norm reconstructionSparse multi-path correction · Synthetic sparse-signal reconstructionchamfer distanceHelped
Use constrained sparse Bayesian learning instead of OMPSparse multi-path correction · Synthetic sparse-signal reconstructionchamfer distanceHelped
Use constrained sparse Bayesian learning instead of bimodal multi-path processingFringe projection profilometry · Owl behind polyester mesh3D reconstruction qualityHelped
Use constrained sparse Bayesian learning instead of bimodal multi-path processingFringe projection profilometry · Owl behind semi-transparent plastic platereconstruction detailHelped
Use constrained sparse Bayesian learning instead of bimodal multi-path processingFringe projection profilometry · White porcelain bowlreconstruction artifactsHelped
Use constrained sparse Bayesian learning instead of micro phase shiftingFringe projection profilometry · Shiny steel bowlsurface reconstructionHelped
Add real-valued and non-negative constraints to sparse Bayesian learning (ablation)Sparse multi-path correction · Synthetic sparse-signal reconstructionchamfer distanceHelped
Increase the number of scan frequencies (ablation)Sparse multi-path correction · Synthetic sparse-signal reconstructionchamfer distanceHelped
Use OMP instead of constrained sparse Bayesian learning (ablation)Sparse multi-path correction · Synthetic sparse-signal reconstructionchamfer distanceHurt
Use ℓ1-norm minimization instead of constrained sparse Bayesian learning (ablation)Sparse multi-path correction · Synthetic sparse-signal reconstructionchamfer distanceHurt
Increase the number of decoupled paths used to recompose phase (ablation)Sparse multi-path correction · Shiny steel bowlreconstruction qualityHelped

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