2011
DOI: 10.1364/ao.51.000033
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Regularized multiframe phase-shifting algorithm for three-dimensional profilometry

Abstract: In many industrial inspection systems, it is required to have a high-precision three-dimensional measurement of an object under test. A popular technique is phase-measuring profilometry. In this paper, we develop some phase-shifting algorithms (PSAs). We propose a novel smoothness constraint in a regularization framework; we call this the R-PSA method and show how to obtain the desired phase measure with an iterative procedure. Both the simulation and experimental results verify the efficacy of our algorithm c… Show more

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Cited by 11 publications
(6 citation statements)
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“…7 These illumination-coded approaches can be implemented by an add-on projection grating, an LCD or a DLP projector, and they provide an efficient full-field surface profilometry method for metrology applications. 8 However, like other triangulation-based 3D metrology techniques, these structured-light methods fail at the occluded regions. 9 To eliminate the occlusion problem by triangulation-based 3D reconstruction techniques, shape-from-focus (SFF) provides a powerful means of recovering the shapes of rough surfaces, 10 but for general surfaces with sudden height variations, the accuracy of depth around the edge is seriously degraded by the out-of-focus light from the neighboring points.…”
Section: Overview Of Non-contact Optical 3d Reconstruction and Metrologymentioning
confidence: 99%
“…7 These illumination-coded approaches can be implemented by an add-on projection grating, an LCD or a DLP projector, and they provide an efficient full-field surface profilometry method for metrology applications. 8 However, like other triangulation-based 3D metrology techniques, these structured-light methods fail at the occluded regions. 9 To eliminate the occlusion problem by triangulation-based 3D reconstruction techniques, shape-from-focus (SFF) provides a powerful means of recovering the shapes of rough surfaces, 10 but for general surfaces with sudden height variations, the accuracy of depth around the edge is seriously degraded by the out-of-focus light from the neighboring points.…”
Section: Overview Of Non-contact Optical 3d Reconstruction and Metrologymentioning
confidence: 99%
“…Our approach uses structured light, which has demonstrated advantages in being able to reconstruct object surfaces efficiently and effectively, even for the textureless ones [16]. Often, the source is a sinusoidal pattern, but other forms have also been investigated [17], [18].…”
Section: A Related Workmentioning
confidence: 99%
“…Methods have been proposed for ideal fringe-pattern generation and projection [5][6][7], phase calculation [8] and unwrapping [9][10][11][12], phase error analysis and correction [3,13,14], and system calibration [15][16][17] to improve the speed and accuracy [6,18,19]. But to obtain high accuracy, more frames of the fringe image or complicated algorithm are needed so that the measurement precision and speed are still mutual constraints [20]. Relative measurement accuracy can be improved to 1∕10; 000 [18], which satisfies laboratory situations that require relatively fast and large-scale 3D data with low accuracy (e.g., reverse engineering and security systems).…”
Section: Introductionmentioning
confidence: 99%