The open access Sensors Journal published an article on mathematics behind one of the techniques of the structured light 3D sensing (some call this approach active stereo, yet others call it triangulation):
A 3D Sensor Based on a Profilometrical Approach
Jesús Carlos Pedraza-Ortega, Efren Efren Gorrostieta-Hurtado, Manuel Delgado-Rosas, Sandra L. Canchola-Magdaleno, Juan Manuel Ramos-Arreguin, Marco A. Aceves Fernandez and Artemio Sotomayor-Olmedo
Facultad de Informatica, Universidad Autonoma de Queretaro, Av. de las Ciencias S/N, Juriquilla, C.P. 76230, Queretaro, Mexico
Abstract: An improved method which considers the use of Fourier and wavelet transform based analysis to infer and extract 3D information from an object by fringe projection on it is presented. This method requires a single image which contains a sinusoidal white light fringe pattern projected on it, and this pattern has a known spatial frequency and its information is used to avoid any discontinuities in the fringes with high frequency. Several computer simulations and experiments have been carried out to verify the analysis. The comparison between numerical simulations and experiments has proved the validity of this proposed method.
This article belongs to the special issue on Image Sensors. I'm not sure how this special issue is defined, as it has articles published a year ago, as well as quite recent ones - probably something to do with innovative open access publishing scheme. Another article belonging to this special issue is one mentioned a month ago on double exposure skimming HDR challenges.
A 3D Sensor Based on a Profilometrical Approach
Jesús Carlos Pedraza-Ortega, Efren Efren Gorrostieta-Hurtado, Manuel Delgado-Rosas, Sandra L. Canchola-Magdaleno, Juan Manuel Ramos-Arreguin, Marco A. Aceves Fernandez and Artemio Sotomayor-Olmedo
Facultad de Informatica, Universidad Autonoma de Queretaro, Av. de las Ciencias S/N, Juriquilla, C.P. 76230, Queretaro, Mexico
Abstract: An improved method which considers the use of Fourier and wavelet transform based analysis to infer and extract 3D information from an object by fringe projection on it is presented. This method requires a single image which contains a sinusoidal white light fringe pattern projected on it, and this pattern has a known spatial frequency and its information is used to avoid any discontinuities in the fringes with high frequency. Several computer simulations and experiments have been carried out to verify the analysis. The comparison between numerical simulations and experiments has proved the validity of this proposed method.
This article belongs to the special issue on Image Sensors. I'm not sure how this special issue is defined, as it has articles published a year ago, as well as quite recent ones - probably something to do with innovative open access publishing scheme. Another article belonging to this special issue is one mentioned a month ago on double exposure skimming HDR challenges.
Phase Profilometry for 3D Sensing
![Phase Profilometry for 3D Sensing]()
Reviewed by MCH
on
December 22, 2009
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