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Updated: Jun 23, 2026

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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
Superimposed fringe projection for three-dimensional shape acquisition by image analysis.
Marco Sasso1, Gianluca Chiappini, Giacomo Palmieri
1Dipartimento di Meccanica, Università Politecnica delle Marche Via Brecce Bianche, 60131, Ancona, Italy. m.sasso@univpm.it
Applied Optics
|May 5, 2009
Summary
This study introduces a 3D shape acquisition technique using simultaneous fringe projections. This method enhances speed and avoids complex postprocessing for surfaces with intricate geometries.
Area of Science:
- Optics and Photonics
- Computer Vision
- Metrology
Background:
- Traditional fringe projection techniques struggle with complex geometries, requiring multiple acquisitions or projector repositioning.
- Shadow areas and undercuts on surfaces pose challenges for accurate 3D shape acquisition.
- Sequential or alternate projector use in fringe projection can lead to time-consuming processes and postprocessing difficulties.
Purpose of the Study:
- To develop an advanced image analysis technique for 3D shape acquisition.
- To overcome limitations of conventional fringe projection methods for complex surfaces.
- To improve the efficiency and accuracy of 3D scanning processes.
Main Methods:
- Simultaneous projection of luminous fringes from multiple projectors.
- Development of a phase calculation and unwrapping algorithm for continuous phase maps.
- Strategic orientation of projectors to ensure full surface coverage.
Main Results:
- Achieved faster acquisition speeds compared to traditional methods.
- Successfully addressed challenges posed by undercuts and shadow areas.
- Eliminated postprocessing issues related to matching disparate point clouds.
Conclusions:
- Simultaneous fringe projection offers a robust solution for 3D shape acquisition of complex objects.
- The developed technique enhances efficiency and simplifies the 3D scanning workflow.
- This method provides accurate and continuous 3D surface data, even for challenging geometries.

