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 Experiment Videos

Intensity-ratio error compensation for triangular-pattern phase-shifting profilometry.

Peirong Jia1, Jonathan Kofman, Chad English

  • 1Department of Mechanical Engineering, University of Ottawa, 770 King Edward Ave., Ottawa, Ontario, Canada.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|October 4, 2007
PubMed
Summary
This summary is machine-generated.

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

Real-Time Freezing of Gait Prediction and Detection in Parkinson's Disease.

Sensors (Basel, Switzerland)·2025
Same author

Community engagement and power dynamics in conservation philanthropy grant making.

Conservation biology : the journal of the Society for Conservation Biology·2024
Same author

Prediction of Freezing of Gait in Parkinson's Disease Using Unilateral and Bilateral Plantar-Pressure Data.

Frontiers in neurology·2022
Same author

Prediction and detection of freezing of gait in Parkinson's disease from plantar pressure data using long short-term memory neural-networks.

Journal of neuroengineering and rehabilitation·2021
Same author

Grouping successive freezing of gait episodes has neutral to detrimental effect on freeze detection and prediction in Parkinson's disease.

PloS one·2021
Same author

Early Detection of Freezing of Gait during Walking Using Inertial Measurement Unit and Plantar Pressure Distribution Data.

Sensors (Basel, Switzerland)·2021
Same journal

Multi-module collaborative optimization-driven fast speckle correlation imaging in variable environments.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Secrecy performance analysis of NOMA-UWOC systems over a vertically stratified WGG oceanic turbulence channel.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Backscattering of plane waves in a composite system containing a rough surface and anisotropic scatterers.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Aspherical surface construction methods based on extended Jacobi polynomials.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

OCT sidelobe suppression method based on dual-path phase sinusoidal modulation and minimum value fusion.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Optical design concepts using wavelength-selective diffractive optics to enable miniaturized multimodal endoscopic imaging across separated spectral ranges.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
See all related articles

This study introduces an intensity-ratio error compensation method to improve 3D measurement accuracy in triangular-pattern phase-shifting profilometry. The technique reduces errors from projector gamma nonlinearity and image defocus, enhancing measurement precision.

Area of Science:

  • Optical Metrology
  • 3D Reconstruction
  • Computer Vision

Background:

  • Phase-shifting profilometry is crucial for 3D surface measurement.
  • Projector gamma nonlinearity and image defocus introduce significant errors.
  • Existing methods struggle to fully compensate for these systematic errors.

Purpose of the Study:

  • To develop an intensity-ratio error-compensation method for triangular-pattern phase-shifting profilometry.
  • To mitigate measurement inaccuracies caused by projector gamma nonlinearity and image defocus.
  • To enhance the overall precision of 3D profilometry measurements.

Main Methods:

  • Simulated measurements using ideal and real gamma nonlinearity functions.
  • Constructed a lookup table for intensity-ratio error compensation.

Related Experiment Videos

  • Applied the compensation method to triangular-pattern phase-shifting profilometry data.

    • Main Results:

    • The intensity-ratio measurement error was accurately determined through simulation.
    • A lookup table effectively mapped intensity ratios to corresponding errors.
    • Experimental validation showed a significant reduction in measurement error.

    Conclusions:

    • The proposed intensity-ratio error compensation method effectively reduces measurement errors.
    • This technique improves the accuracy of 3D profilometry using triangular patterns.
    • The method offers a practical solution for enhancing optical measurement systems.