Open AccessDiscriminative repair approach to remove shadow-induced error for typical digital fringe projection
Author(s) -
Zheng Sun,
Yi Jin,
Minghui Duan,
Yan Kan,
Changan Zhu,
Enhong Chen
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.396754
Subject(s) - shadow (psychology) , computer science , artificial intelligence , computer vision , discriminative model , projection (relational algebra) , phase (matter) , structured light 3d scanner , kernel (algebra) , optics , algorithm , mathematics , physics , psychology , scanner , quantum mechanics , psychotherapist , combinatorics
In a typical digital fringe projection (DFP) system, the shadows in the fringe images cause errors in the phase map. We propose a novel discriminative repair approach to remove the shadow-induced error in the phase map. The proposed approach first classifies the shadow area in the phase map obtained by the DFP into two categories: valid shadow area and invalid shadow area. Then the valid shadow area is repaired by a proposed neighboring information fusion phase estimation (NIFPE) method, which fuses the phase gradient into the result of kernel density estimation (KDE) through the Kalman filter (KF) algorithm. The invalid shadow area is repaired by a proposed background phase matching (BPM) method. The experimental results demonstrate that the shadow-induced error in the phase map can be removed, which verifies the effectiveness of the proposed approach.