An accurate measurement of high-reflective objects by using 3D structured light

Song, Xuwen; Zhang, Shijin; Wu, Yuqiang

doi:10.1016/j.measurement.2024.115218

Measurement

2024

DOI: 10.1016/j.measurement.2024.115218

|View full text |Cite

An accurate measurement of high-reflective objects by using 3D structured light

Xuwen Song,

Shijin Zhang,

Yuqiang Wu

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Deep-learning-assisted composite polarized fringe projection profilometry for three-dimensional measurement of high-dynamic-range objects

Dang,

Zhu,

Cheng

et al. 2024

Appl. Opt.

View full text Add to dashboard Cite

The presence of highlights on the surfaces of high-dynamic-range objects poses significant challenges to their three-dimensional measurement. Achieving fast and high-precision reconstruction of high-dynamic-range objects has become a primary research focus in the field of optical measurement. Although the polarization coding technique can effectively mitigate the influence of highlights, it also introduces increased nonlinear errors and reduces the signal-to-noise ratio. To address these issues, we propose a deep-learning-assisted composite polarization fringe projection profile measurement method for the three-dimensional measurement of high-dynamic-range objects. This method combines data-driven deep learning techniques with physical-model-based polarization coding to eliminate highlights, reduce nonlinear errors, and mitigate the reduction in signal-to-noise ratio. Experimental validation across various scenes and different methods of highlight removal demonstrates that our proposed method significantly improves both measurement efficiency and accuracy compared to traditional physical models.

show abstract

Deep-learning-assisted composite polarized fringe projection profilometry for three-dimensional measurement of high-dynamic-range objects

Dang,

Zhu,

Cheng

et al. 2024

Appl. Opt.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An accurate measurement of high-reflective objects by using 3D structured light

Cited by 1 publication

References 25 publications

Deep-learning-assisted composite polarized fringe projection profilometry for three-dimensional measurement of high-dynamic-range objects

Deep-learning-assisted composite polarized fringe projection profilometry for three-dimensional measurement of high-dynamic-range objects

Contact Info

Product

Resources

About