Paper
24 November 2023 Adaptive fringe generation with OBB and homography transform for various objects
Author Affiliations +
Proceedings Volume 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023); 129353K (2023) https://doi.org/10.1117/12.3007776
Event: Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 2023, Xi’an, China
Abstract
In the fringe projection profilometry (FPP), traditionally, no clear mathematical expression was developed to design the sinusoidal fringe patterns for various objects. For this reason, we present an adaptive algorithm to generate the optimum fringe patterns with an oriented bounding box (OBB) and homography transform. Firstly, the features of various objects, which are segmented with deep learning network Mask R-CNN, are represented by the spindle orientation and length of the OBB. Secondly, the adaptive fringe patterns in the field of view of a camera are generated by the fusion with the OBB and the mathematical expression of conventional intensity fringe patterns. Finally, the fringe patterns in the field of view of a camera is transformed into the in the field of view of a projector by homography. Experiments have been carried out to validate the performances of the proposed method.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jin Lu, Pei Y. Wu, Chen Yuan, Jin Wang, Wei Sun, and Xiao G. Sun "Adaptive fringe generation with OBB and homography transform for various objects", Proc. SPIE 12935, Fourteenth International Conference on Information Optics and Photonics (CIOP 2023), 129353K (24 November 2023); https://doi.org/10.1117/12.3007776
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fringe analysis

Design and modelling

Modulation

Image segmentation

Phase unwrapping

Reconstruction algorithms

Back to Top