Open AccessCharacterisation of a multi-view fringe projection system based on the stereo matching of rectified phase maps
Author(s) -
Amrozia Shaheen,
Danny Sims-Waterhouse,
Patrick Bointon,
Shigeru Takushima,
Samanta Piano,
Richard Leach
Publication year - 2021
Publication title -
measurement science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.48
H-Index - 136
eISSN - 1361-6501
pISSN - 0957-0233
DOI - 10.1088/1361-6501/abd445
Subject(s) - computer vision , projector , computer science , artificial intelligence , structured light 3d scanner , projection (relational algebra) , coordinate system , point cloud , phase (matter) , matching (statistics) , novelty , point (geometry) , algorithm , mathematics , geometry , physics , philosophy , statistics , theology , scanner , quantum mechanics
Multi-view fringe projection systems can be effective solutions to address the limitations imposed by the limited field of view, line-of-sight issues and occlusions when measuring the geometry of complex objects, associated with single camera–projector systems. However, characterisation of a multi-view system is challenging since it requires the cameras and projectors to be in a common global coordinate system. We present a method for characterising a multi-view fringe projection system which does not require the characterisation of the projector. The novelty of the method lies in determining the correspondences in the phase domain using the rectified unwrapped phase maps and triangulating the matched phase values to reconstruct the three-dimensional shape of the object. A benefit of the method is that it does not require registration of the point clouds acquired from multiple perspectives. The proposed method is validated by experiment and comparison with a conventional system and a contact coordinate measuring machine.