{"title":"mrPCA-PSP:基于主成分分析的鲁棒抗运动相移轮廓术","authors":"Yixuan Li, Mingzheng Li, Wenwu Chen, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo","doi":"10.1002/lpor.202401938","DOIUrl":null,"url":null,"abstract":"Phase-shifting profilometry (PSP) enables high-resolution 3D shape measurement through phase-shifted fringe patterns. However, its multi-shot nature makes it highly susceptible to motion-induced phase errors, leading to severe reconstruction artifacts in dynamic scenes. Here, a robust motion-resistant phase-shifting profilometry method based on principal component analysis (mrPCA-PSP) is proposed. By leveraging PCA to separate signal from noise, non-uniform phase shifts induced by motion in each raw fringe image are compensated. Through image rectification and unknown phase shift estimation, the method achieves high-precision phase retrieval for objects moving in arbitrary directions using only three phase-shifted fringe images. Experimental results in complex dynamic scenes demonstrate that mrPCA-PSP exhibits significantly enhanced motion robustness compared to traditional PSP. By implementing it in a GPU-accelerated multi-view structured light fringe projection system, motion-induced errors are effectively suppressed, achieving real-time, motion-artifact-free, high-precision 3D measurements at speeds of up to 100 Hz. These capabilities position mrPCA-PSP as a promising solution for high-speed, real-time 3D shape measurement in dynamic environments, with applications in industrial inspection, robotic navigation, and human-computer interaction.","PeriodicalId":204,"journal":{"name":"Laser & Photonics Reviews","volume":"230 1","pages":""},"PeriodicalIF":9.8000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"mrPCA-PSP: Robust Motion-Resistant Phase-Shifting Profilometry Based on Principal Component Analysis\",\"authors\":\"Yixuan Li, Mingzheng Li, Wenwu Chen, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo\",\"doi\":\"10.1002/lpor.202401938\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Phase-shifting profilometry (PSP) enables high-resolution 3D shape measurement through phase-shifted fringe patterns. However, its multi-shot nature makes it highly susceptible to motion-induced phase errors, leading to severe reconstruction artifacts in dynamic scenes. Here, a robust motion-resistant phase-shifting profilometry method based on principal component analysis (mrPCA-PSP) is proposed. By leveraging PCA to separate signal from noise, non-uniform phase shifts induced by motion in each raw fringe image are compensated. Through image rectification and unknown phase shift estimation, the method achieves high-precision phase retrieval for objects moving in arbitrary directions using only three phase-shifted fringe images. Experimental results in complex dynamic scenes demonstrate that mrPCA-PSP exhibits significantly enhanced motion robustness compared to traditional PSP. By implementing it in a GPU-accelerated multi-view structured light fringe projection system, motion-induced errors are effectively suppressed, achieving real-time, motion-artifact-free, high-precision 3D measurements at speeds of up to 100 Hz. These capabilities position mrPCA-PSP as a promising solution for high-speed, real-time 3D shape measurement in dynamic environments, with applications in industrial inspection, robotic navigation, and human-computer interaction.\",\"PeriodicalId\":204,\"journal\":{\"name\":\"Laser & Photonics Reviews\",\"volume\":\"230 1\",\"pages\":\"\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2025-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Laser & Photonics Reviews\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1002/lpor.202401938\",\"RegionNum\":1,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Laser & Photonics Reviews","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1002/lpor.202401938","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPTICS","Score":null,"Total":0}
mrPCA-PSP: Robust Motion-Resistant Phase-Shifting Profilometry Based on Principal Component Analysis
Phase-shifting profilometry (PSP) enables high-resolution 3D shape measurement through phase-shifted fringe patterns. However, its multi-shot nature makes it highly susceptible to motion-induced phase errors, leading to severe reconstruction artifacts in dynamic scenes. Here, a robust motion-resistant phase-shifting profilometry method based on principal component analysis (mrPCA-PSP) is proposed. By leveraging PCA to separate signal from noise, non-uniform phase shifts induced by motion in each raw fringe image are compensated. Through image rectification and unknown phase shift estimation, the method achieves high-precision phase retrieval for objects moving in arbitrary directions using only three phase-shifted fringe images. Experimental results in complex dynamic scenes demonstrate that mrPCA-PSP exhibits significantly enhanced motion robustness compared to traditional PSP. By implementing it in a GPU-accelerated multi-view structured light fringe projection system, motion-induced errors are effectively suppressed, achieving real-time, motion-artifact-free, high-precision 3D measurements at speeds of up to 100 Hz. These capabilities position mrPCA-PSP as a promising solution for high-speed, real-time 3D shape measurement in dynamic environments, with applications in industrial inspection, robotic navigation, and human-computer interaction.
期刊介绍:
Laser & Photonics Reviews is a reputable journal that publishes high-quality Reviews, original Research Articles, and Perspectives in the field of photonics and optics. It covers both theoretical and experimental aspects, including recent groundbreaking research, specific advancements, and innovative applications.
As evidence of its impact and recognition, Laser & Photonics Reviews boasts a remarkable 2022 Impact Factor of 11.0, according to the Journal Citation Reports from Clarivate Analytics (2023). Moreover, it holds impressive rankings in the InCites Journal Citation Reports: in 2021, it was ranked 6th out of 101 in the field of Optics, 15th out of 161 in Applied Physics, and 12th out of 69 in Condensed Matter Physics.
The journal uses the ISSN numbers 1863-8880 for print and 1863-8899 for online publications.