Improved phase-unwrapping method using geometric constraints
Guangliang Du, Minmin Wang, Canlin Zhou, Shuchun Si, Hui Li, Zhenkun, Lei, Yanjie Li

TL;DR
This paper introduces a simplified and faster phase-unwrapping method for digital fringe projection that avoids complex calibration and additional fringe patterns, effectively overcoming limitations of previous approaches.
Contribution
The proposed method eliminates the need for system calibration and low-frequency fringe patterns, streamlining the process and enhancing speed while maintaining accuracy.
Findings
Successfully overcomes phase unwrapping failures with large frequency ratios
Reduces calibration complexity and processing time
Demonstrates improved robustness and efficiency in experiments
Abstract
Conventional dual-frequency fringe projection algorithm often suffers from phase unwrapping failure when the frequency ratio between the high frequency and the low one is too large. Zhang et.al. proposed an enhanced two-frequency phase-shifting method to use geometric constraints of digital fringe projection(DFP) to reduce the noise impact due to the large frequency ratio. However, this method needs to calibrate the DFP system and calculate the minimum phase map at the nearest position from the camera perspective, these procedures are are relatively complex and more time-cosuming. In this paper, we proposed an improved method, which eliminates the system calibration and determination in Zhang's method,meanwhile does not need to use the low frequency fringe pattern. In the proposed method,we only need a set of high frequency fringe patterns to measure the object after the high frequency…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
