Wavelet-Assisted Adaptive EKF Phase Shift Estimation Approach for Motion-Induced Error Compensation.

Xin Lai, Qiushuo Yu, Zhenyi Chen

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Xin LaiSchool of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu 610500, China.

Qiushuo YuSchool of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu 610500, China.

Zhenyi ChenSchool of Sciences, Southwest Petroleum University, Chengdu 610500, China.

Funding

Natural Science Foundation of Sichuan Province 2025ZNSFSC0428Science and Technology Cooperation Project of the CNPC-SWPU Innovation Alliance 2020CX020203State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation PLN2020-10

6 · The paper itself

Abstract

Phase-shifting profilometry (PSP) suffers from motion-induced phase-step variations in dynamic scenes. The breakdown of the fixed phase shift assumption results in issues such as ripples, distortions and accuracy decline in PSP systems. To reduce motion-induced phase errors, we propose a wavelet-assisted adaptive extended Kalman filter (WAEKF) to estimate varied pixel-wise phase shift. A wavelet-based strategy is presented to extract an initial spatial carrier frequency at each row from fringe patterns for EKF estimation. A state-space model employing the quadrature phase component and carrier frequency is established in this paper. The unknown phase shifts can be evaluated by using a forward-backward filter. Experiments show that the proposed method can acquire an accurate initial carrier frequency and phase shift map, which effectively reduces 3D reconstruction error and can be extended to N-step PSP systems.

Indexed as

extended Kalman filtermotion-induced compensationphase estimationstate-space modelwavelet transform

Identifiers

PMID41829696

DOI10.3390/s26051735

PMCPMC12987138

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.