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Related Experiment Video

Updated: May 25, 2026

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
07:25

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

A 3D Sensor Based on a Profilometrical Approach.

Jesús Carlos Pedraza-Ortega1, Efren Gorrostieta-Hurtado, Manuel Delgado-Rosas

  • 1Facultad de Informatica, Universidad Autonoma de Queretaro, Av. de las Ciencias S/N, Juriquilla, C.P. 76230, Queretaro, Mexico; E-Mails: efren.gorrostieta@uaq.mx (E.G.-H.); mdelgado80@hotmail.com (M.D.-R.); sandracanchola@yahoo.com (S.L.C.-M.); jramos@uaq.mx (J.M.R.-A.); marco.aceves@uaq.mx (M.A.A.F.); artemio.sotomaror@uaq.mx (A.S.-O.).

Sensors (Basel, Switzerland)
|February 4, 2012
PubMed
Summary
This summary is machine-generated.

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This study introduces an enhanced 3D reconstruction method using Fourier and wavelet transforms on fringe projection patterns. The technique accurately extracts 3D object information from a single image, validated by simulations and experiments.

Area of Science:

  • Optics and Photonics
  • Computer Vision
  • Metrology

Background:

  • Three-dimensional (3D) reconstruction is crucial for various applications, including manufacturing, robotics, and virtual reality.
  • Traditional fringe projection profilometry often requires multiple images or complex setups, limiting its efficiency and applicability.
  • Handling discontinuities and noise in fringe patterns remains a challenge for accurate 3D information extraction.

Purpose of the Study:

  • To present an improved method for inferring and extracting 3D information from objects using fringe projection.
  • To leverage Fourier and wavelet transform-based analysis for enhanced 3D data acquisition from a single image.
  • To address and mitigate issues related to fringe discontinuities and high-frequency noise.

Main Methods:

Keywords:
3D reconstructionFourier transformimage processingsegmentationwavelet transform

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  • The proposed method utilizes a single image containing a sinusoidal white light fringe pattern projected onto the object.
  • Fourier transform and wavelet transform analyses are employed to process the fringe pattern and extract depth information.
  • Known spatial frequency of the fringe pattern is used to manage discontinuities and ensure data integrity.

Main Results:

  • Computer simulations demonstrated the capability of the method to accurately infer 3D information.
  • Experimental validation confirmed the effectiveness of the proposed technique in real-world scenarios.
  • The comparison between simulated and experimental results showed high concordance, proving the method's validity.

Conclusions:

  • The developed method offers an efficient and accurate approach for 3D reconstruction using fringe projection.
  • The integration of Fourier and wavelet transforms provides robust analysis, even with complex fringe patterns.
  • This technique shows significant potential for advancing 3D measurement and imaging technologies.