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

Solving the cooling flow problem with combined jet-wind AGN feedback.

Science advances·2026
Same author

A programmable multi-stage microfluidic platform with micro-dam prefiltration and micro-nano hierarchical filter for synergetic capture of CTCs and SERS-based phenotype analysis.

Biosensors & bioelectronics·2026
Same author

Point cloud denoising method with low-rank recovery and point optimization.

Optics express·2026
Same author

Dynamic Biomass-Based Hydrogel with Dual pH/Glucose Responsiveness for Controlled Nitric Oxide Release and Diabetic Wound Healing.

Biomacromolecules·2026
Same author

Adhesion Force Evolution Mediated by Capillary Condensation under Varied Macroscopic Humidity or Interface Micromorphology: Measurement via Micrometer-Scale Probe.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Multimodal Dissection of UV-B-Induced Plant Defense Against Insect in Tea Plants.

Plant, cell & environment·2026

Related Experiment Video

Updated: Feb 20, 2026

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

16.1K

Sub-pixel projector calibration method for fringe projection profilometry.

Wei Zhang, Weishi Li, Liandong Yu

    Optics Express
    |October 19, 2017
    PubMed
    Summary
    This summary is machine-generated.

    Accurate digital projector calibration is crucial for fringe projection profilometry. A new projective transform method achieves sub-pixel accuracy for projector calibration, independent of camera calibration.

    More Related Videos

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.4K
    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

    12.8K

    Related Experiment Videos

    Last Updated: Feb 20, 2026

    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

    16.1K
    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.4K
    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

    12.8K

    Area of Science:

    • Metrology
    • Optical Engineering
    • Computer Vision

    Background:

    • Fringe projection profilometry relies on digital projectors for structured-light patterns.
    • Accurate calibration of projector lens distortion is essential for industrial metrology applications.
    • Existing methods may require camera calibration or lack sub-pixel accuracy.

    Purpose of the Study:

    • To propose a novel, accurate method for calibrating digital projectors used in fringe projection profilometry.
    • To achieve sub-pixel accuracy in determining projector pixel coordinates of calibration target points.
    • To develop a calibration method independent of camera calibration parameters.

    Main Methods:

    • Utilizing projective transform to accurately determine marker point coordinates in projector pixel space.
    • Applying the method to calibration targets with chessboard or circle patterns.
    • Demonstrating independence from camera calibration results.

    Main Results:

    • The proposed method achieves sub-pixel level accuracy in projector calibration.
    • Experimental validation confirms the effectiveness and reliability of the technique.
    • The calibration process is robust for different target patterns.

    Conclusions:

    • The novel projective transform method offers a significant advancement in digital projector calibration for profilometry.
    • Sub-pixel accuracy is attainable, meeting stringent industrial requirements.
    • The method's independence from camera calibration simplifies the overall system setup.