Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

PI Controller: Design

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...

You might also read

Related Articles

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

Sort by

Same author

Hardware-Attentive Programmable Fourier Ptychography Enables Task-Adaptive Label-Free Virtual Staining.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same author

Real-World M3-BREATHE: Toward Multimodal Mobile Monitoring of Behaviour, Respiration, and Exposures for Treatment and Health Evaluation.

Journal of visualized experiments : JoVE·2026

Same author

Repeated in-stent occlusion of RCA: a case report.

Journal of cardiothoracic surgery·2026

Same author

An integrated pathway mutation and clinical model predicts survival in unresectable HCC with hepatic arterial infusion chemotherapy combined with lenvatinib and tislelizumab.

BMC cancer·2026

Same author

Machine learning, bioinformatics analysis and chemical screening streamline target validation by identifying RNA helicase as a druggable essential protein in tobacco mosaic virus.

Journal of advanced research·2026

Same author

Combined exposure to T-2 and HT-2 mycotoxins induces ferroptosis through down-regulation of SLC7A11/GPX4 and NAD(P)H/FSP1/CoQ10 pathways in Caco-2 cells.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association·2026

Search research articles

Related Experiment Video

Updated: Oct 17, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Real-time motion-induced error compensation for 4-step phase-shifting profilometry.

Wenbo Guo, Zhoujie Wu, Qican Zhang

|October 7, 2021

Summary

This summary is machine-generated.

This study presents a new real-time method to compensate for motion-induced errors in 4-step phase-shifting profilometry. The technique improves 3D shape measurement accuracy for dynamic objects by averaging phases to correct errors efficiently.

More Related Videos

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

Movement Retraining using Real-time Feedback of Performance

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

Related Experiment Videos

Last Updated: Oct 17, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

Movement Retraining using Real-time Feedback of Performance

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

Area of Science:

Optics and Photonics
Computer Vision
Metrology

Background:

Phase-shifting profilometry is crucial for high-accuracy 3D shape measurement.
Object motion in dynamic scenarios introduces motion-induced errors, complicating accurate measurements.
Existing compensation methods for motion-induced errors are often inconvenient and inefficient.

Purpose of the Study:

To propose a real-time method for compensating motion-induced errors in 4-step phase-shifting profilometry.
To enhance the accuracy and efficiency of 3D shape measurement in dynamic environments.
To enable high-speed 3D reconstruction by addressing motion artifacts.

Main Methods:

A novel compensation strategy using two groups of phase-shifted images (first three and last three fringes).
Calculation of two wrapped phases to identify and correct motion-induced phase shifts.
Implementation of a time sequence by recycling projection fringes for improved reconstruction efficiency.
Pixel-wise error compensation leveraging a π/2 phase shift between adjacent frames.

Main Results:

The proposed method effectively compensates for motion-induced errors by averaging phases.
Achieved 50 frames per second (fps) real-time 3D measurement through GPU acceleration.
Experimental validation confirms significant reduction in motion-induced errors.
Improved efficiency in 3D reconstruction for dynamic scenes.

Conclusions:

The developed method offers a convenient and efficient solution for real-time motion-induced error compensation in phase-shifting profilometry.
This technique enables high-speed, accurate 3D shape measurement even with object movement.
The findings contribute to advancing dynamic 3D measurement capabilities.