Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The possible role of bacterial signal molecules N-acyl homoserine lactones in the formation of diatom-biofilm (Cylindrotheca sp.).

Marine pollution bulletin·2016
Same author

Altered Bulbar Conjunctival Microcirculation in Response to Contact Lens Wear.

Eye & contact lens·2016
Same author

Prevalence of passive smoking in the community population aged 15 years and older in China: a systematic review and meta-analysis.

BMJ open·2016
Same author

Construction of the first high-density genetic linkage map of Salvia miltiorrhiza using specific length amplified fragment (SLAF) sequencing.

Scientific reports·2016
Same author

In silico analysis and recombinant expression of BamA protein as a universal vaccine against Escherichia coli in mice.

Applied microbiology and biotechnology·2016
Same author

Effect of Genotype and Environment on Salvia miltiorrhiza Roots Using LC/MS-Based Metabolomics.

Molecules (Basel, Switzerland)·2016

Related Experiment Video

Updated: Aug 25, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

15.7K

Evaluation method for noise-induced phase error in fringe projection profilometry.

Jianhua Wang

    Applied Optics
    |October 18, 2022
    PubMed
    Summary
    This summary is machine-generated.

    A new method evaluates noise effects in fringe projection profilometry (FPP). It quantizes phase error and unwrapping reliability, guiding the selection of optimal dual-frequency algorithms for accurate 3D measurements.

    More Related Videos

    Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes
    06:56

    Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

    Published on: May 23, 2017

    12.4K
    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
    10:28

    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

    Published on: July 5, 2016

    10.4K

    Related Experiment Videos

    Last Updated: Aug 25, 2025

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    15.7K
    Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes
    06:56

    Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

    Published on: May 23, 2017

    12.4K
    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
    10:28

    Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

    Published on: July 5, 2016

    10.4K

    Area of Science:

    • Optical Metrology
    • 3D Imaging
    • Computational Optics

    Background:

    • Fringe projection profilometry (FPP) is crucial for 3D shape measurement.
    • Noise-induced phase errors and phase unwrapping reliability are critical challenges in FPP.
    • Existing evaluation methods for noise impact in FPP are limited.

    Purpose of the Study:

    • To propose a novel evaluation method for noise-induced phase error and phase unwrapping reliability in FPP.
    • To establish direct relationships between noise parameters and phase error/unwrapping reliability.
    • To compare the performance of different dual-frequency phase unwrapping algorithms.

    Main Methods:

    • Introduction of a Gaussian noise model to directly derive maximum variance of phase error.
    • Mathematical formulation of phase unwrapping reliability based on noise-induced error and fringe parameters.
    • Analysis and comparison of three dual-frequency phase unwrapping algorithms: 4fH+4fL, 3fH+3fL, and 3fH+2fL.

    Main Results:

    • Phase error variance is proportional to noise variance and inversely proportional to fringe modulation.
    • Phase unwrapping reliability is inversely proportional to phase error and fringe frequency ratio.
    • The 4fH+4fL algorithm demonstrated the best wrapped phase accuracy and unwrapping reliability, followed by 3fH+3fL and 3fH+2fL.
    • The 3fH+2fL algorithm offered the highest measurement efficiency.

    Conclusions:

    • The proposed evaluation method provides direct metrics for noise-induced phase error and phase unwrapping reliability in FPP.
    • Algorithm selection in FPP should balance accuracy, reliability, and measurement efficiency.
    • The 4fH+4fL algorithm is recommended for high accuracy and reliability, while 3fH+2fL is suitable when measurement speed is prioritized.